Total 4,035 data entry clerk job vacancies in Information Technology category in Singapore

Location: Newton

Working hours: 8.30am - 5.30pm (Mon-Fri) with 1.5-hour lunch break

Salary: $2,200/month

• Gather and input data into databases and verify accuracy
• Review data for errors or redundancies, make corrections and check output
• Work with different stakeholders to deliver process improvement and efficiency
• Other ad hoc duties assigned
• No experience needed, training will be provided!!

Requirement

• Minimum GCE A level/ Diploma in any fields

Interested applicants please send your resumes to [email protected]

Jessica Nguyen Huynh Thanh Truc
Recruiter (R23113787)
EA License No. 99C4599

We regret that only shortlisted candidates will be notified.

• Perform accurate and timely data entry tasks.
• Create and maintain dashboards using Microsoft Excel and other data visualization tools.
• Collaborate with cross-functional teams to gather and analyze data requirements.
• Ensure data integrity and consistency across various platforms.
• Assist in the development and implementation of data management processes.
• Conduct data quality checks and troubleshoot data discrepancies.
• Support ad-hoc data analysis requests as needed.

Requirements:

• Minimum Bachelor’s degree in Information Technology, Data Science, or related field.
• High proficiency in Microsoft Office tools, including Lists, Excel, PowerPoint, Word, and Pivot Tables.
• Experience with data visualization tools such as Power BI or Tableau is a plus.

Joy Yeow Zhi Qian

(CEI Registration No:R2096261)

Recruit Express Pte Ltd (EA Licence No: 99C4599)

• Perform accurate and timely data entry tasks.
• Create and maintain dashboards using Microsoft Excel and other data visualization tools.
• Collaborate with cross-functional teams to gather and analyze data requirements.
• Ensure data integrity and consistency across various platforms.
• Assist in the development and implementation of data management processes.
• Conduct data quality checks and troubleshoot data discrepancies.
• Support ad-hoc data analysis requests as needed.

Requirements:

• Minimum Bachelor’s degree in Information Technology, Data Science, or related field.
• High proficiency in Microsoft Office tools, including Lists, Excel, PowerPoint, Word, and Pivot Tables.
• Experience with data visualization tools such as Power BI or Tableau is a plus.

Joy Yeow Zhi Qian

(CEI Registration No:R2096261)

Recruit Express Pte Ltd (EA Licence No: 99C4599)

• Analyzed user behavior and trading patterns across Spot, Webproducts to track OKR progress and recommend targeted improvements.
• Developed and optimized a user growth model to manage the user lifecycle, focusing on enhancing areas such as new customer acquisition, conversion rate predictions, and churn prevention.
• Utilized comprehensive user data to deliver strategic insights that strengthened marketing initiatives and boosted campaign conversion rates in different channels.
• Integrated product and operations data by implementing advanced big data analytics and modeling solutions, improving both product experience and overall business performance.

Requirements:

• Bachelor’s degree in Computer Science or related field.
• Experience working with high-volume datasets.
• Familiarity with performance tuning for large datasets and optimizing stored procedures.
• Knowledge of advanced data engineering concepts like partitioning, indexing, and data modeling.

Skills and Competencies:

• Strong expertise in SQL Server, MySQLdatabases.
• Proficiency in ETL tools such as SSIS, Talend, and experience in developing data pipelines.
• Hands-on experience in Data Warehouse architecture, performance optimization, and data quality validation.
• Experience working with BI tools like Tableau, QlikView, and iReport Designer.
• Strong problem-solving and analytical skills.

Interested candidate please submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

https://go.persolkelly.com/job/apply/9902

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394
[Sindy Ngiam, REG R1105286]

• Analyzed user behavior and trading patterns across Spot, Webproducts to track OKR progress and recommend targeted improvements.
• Developed and optimized a user growth model to manage the user lifecycle, focusing on enhancing areas such as new customer acquisition, conversion rate predictions, and churn prevention.
• Utilized comprehensive user data to deliver strategic insights that strengthened marketing initiatives and boosted campaign conversion rates in different channels.
• Integrated product and operations data by implementing advanced big data analytics and modeling solutions, improving both product experience and overall business performance.

Requirements:

• Bachelor’s degree in Computer Science or related field.
• Experience working with high-volume datasets.
• Familiarity with performance tuning for large datasets and optimizing stored procedures.
• Knowledge of advanced data engineering concepts like partitioning, indexing, and data modeling.

Skills and Competencies:

• Strong expertise in SQL Server, MySQLdatabases.
• Proficiency in ETL tools such as SSIS, Talend, and experience in developing data pipelines.
• Hands-on experience in Data Warehouse architecture, performance optimization, and data quality validation.
• Experience working with BI tools like Tableau, QlikView, and iReport Designer.
• Strong problem-solving and analytical skills.

Interested candidates, please submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

https://go.persolkelly.com/job/apply/9902

We regret to inform you that only shortlisted candidates will be notified.

Ngiam Xinyi | REG No : R1105286

PERSOLKELLY SINGAPORE PTE LTD | EA License No : 01C4394

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

Responsibilities:

• Work with group companies to collect, clean, and preprocess datasets to ensure data quality and reliability
• Conduct exploratory data analysis to identify patterns, trends, and anomalies
• Ability to data manipulation and apply statistical methods to transform data into actionable insights for business stakeholders (familiar with regression and time series analysis)
• Interpret and communicate findings to non-technical stakeholders through reports, BI dashboards, and presentations
• Automate existing recurring reports and analyses
• Design and develop the data architecture for BI solutions
• Build data pipelines where necessary for the development of visualization solutions.

Experience:

• Minimum of 2-3 years of experience in data analysis, preferably in the Oil & Gas, Marine, or Construction industry.
• Experience working on large-scale projects (e.g., $100 million+), particularly in analyzing project performance data.
• familiarity with Power BI for data visualization.

Skill:

• Proficient in statistical software and data analysis tools (e.g., Python, R, SQL).
• Advanced skills in Microsoft Excel, including macros and complex data functions.
• Strong experience with data visualization tools (e.g., Power BI, Tableau) to track KPIs and report insights.
• Ability to handle large datasets, interpret trends, and provide actionable insights.

Roles & Responsibilities

Responsibilities:

• Work with group companies to collect, clean, and preprocess datasets to ensure data quality and reliability
• Conduct exploratory data analysis to identify patterns, trends, and anomalies
• Ability to data manipulation and apply statistical methods to transform data into actionable insights for business stakeholders (familiar with regression and time series analysis)
• Interpret and communicate findings to non-technical stakeholders through reports, BI dashboards, and presentations
• Automate existing recurring reports and analyses
• Design and develop the data architecture for BI solutions
• Build data pipelines where necessary for the development of visualization solutions

Experience

• Minimum of 2-3 years of experience in data analysis, preferably in the Oil & Gas, Marine, or Construction industry.
• Experience working on large-scale projects (e.g., $100 million+), particularly in analyzing project performance data.
• familiarity with Power BI for data visualization.

Skill

• Proficient in statistical software and data analysis tools (e.g., Python, R, SQL).
• Advanced skills in Microsoft Excel, including macros and complex data functions.
• Strong experience with data visualization tools (e.g., Power BI, Tableau) to track KPIs and report insights.
• Ability to handle large datasets, interpret trends, and provide actionable insights.

Our Client:

Our client is one of the growing Industrial Gases manufacturing MNCs based in Japan. They are looking for a motivated and passionate Data Analyst, for their team in Singapore.

The Responsibilities:

• Work with group companies to collect, clean, and preprocess datasets to ensure data quality and reliability
• Conduct exploratory data analysis to identify patterns, trends, and anomalies
• Ability to data manipulation and apply statistical methods to transform data into actionable insights for business stakeholders (familiar with regression and time series analysis)
• Interpret and communicate findings to non-technical stakeholders through reports, BI dashboards, and presentations
• Automate existing recurring reports and analyses
• Design and develop the data architecture for BI solutions
• Build data pipelines where necessary for the development of visualization solutions
• Ad-hoc analysis required by management to support strategic initiative

The Requirements:

• Bachelor’s degree (or equivalent) in mathematics, computing, statistics, business analytics, finance or equivalent
• Minimum of 2-3 years of experience in a business setting focused on data analysis, insights, and recommendations
• Excellent data visualization skills, with experience in creating dashboard reports using Power BI, Tableau, or similar tools
• Knowledge in database, data modelling and ETL pipeline development
• Knowledge in SQL, and Python is a plus
• Strong communication and interpersonal skills

RGF Privacy Policy – https://www.singapore.rgf-professional.com/privacy-policy

Disclaimer: The Company complies with the Tripartite Guidelines on Fair Employment Practices (TGFEP), including the prevailing guidelines on recruitment. All qualified applicants will be considered for the position regardless of their age, race, religion, nationality, marital status, or family responsibilities. A more detailed discussion of the TGFEP is available on the Tripartite Alliance for Fair and Progressive Employment Practices (TAFEP) website at https://www.tal.sg/tafep.

JO Reference: 112727

Job Responsibilities

• File and organize documents
• Order office supplies
• Help with basic data entry and paperwork

Requirement:

• Min Diploma in any course

All qualified applicants, please click “ APPLY NOW”

Kimmy Low Yi Ting (Kim) | CEI Registration Number: R23112122

Recruit Express Pte Ltd Company Reg. No. 199601303W | EA LICENCE Number: 99C4599

Responsibilities:

• The Data Engineer will lead in data collection, data analysis, and data consolidation to provide key business insights for management.
• Stakeholder collaboration to define business and information needs to deliver data-centric solutions.
• Translate business requirements into analytics and reporting specifications.
• Automate data collection process and digitalise existing workflows
• Support the digitalisation transformation team in improving operational efficiency
• Coordinate collection and consolidation of data
• Conduct data cleaning and vetting, check and verify data to ensure accurate data input
• Apply analytical, statistical and operational research knowledge to transform data into insights to facilitate decision making.
• Prepare weekly and monthly reports
• Report critical issues observed through information analysis
• Troubleshoot, research and fixing issues
• To look into continuous improvement of data and business processes to improve efficiency and productivity
• Understanding internal department user needs; build, maintain and optimize systems & process together through acquired data
• Recommend IT tools, digital transformation ideas for productivity improvement
• Other duties as assigned

Requirements:

• Minimum Degree with 2 year of experience in Data Analysis would be an added advantage
• SQL coding background will be advantageous
• Tertiary technical background required

Job Description
As a Data Engineer, you will design, develop, and optimize data pipelines to support analytical and operational use cases. Your role will involve ensuring data integrity, availability, and consistency across systems while working closely with data scientists and business analysts.

Key Responsibilities:

• Design and implement ETL processes for large datasets.
• Build and maintain data pipelines using cloud services and big data tools.
• Optimize and enhance data storage and retrieval solutions.
• Collaborate with cross-functional teams to meet business data requirements.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 2-5 years of experience in data engineering or related roles.
• Proficiency in SQL, Python, and data pipeline tools like Apache Spark.
• Familiarity with cloud platforms (AWS, Azure, GCP) is a plus.

• Min 3 years of experience.
• At least 5 years of data-related working experience, with at least 3 years of hands-on experience in data management and data analytics in the finance, investment, banking, and asset management industries.
• Good understanding of the principles, key controls and processes relating to data management.
• Good at working with details and is meticulous in operations and tasks.
• Good understanding of data modelling.
• Good understanding on OLTP, Data Lake, Lakehouse technologies that may include knowledge of Snowflake, S3, AWS Glue, DeltaLake, DataBricks.
• Good understanding of CI/CD pipelines, DevOps, DataOps, and their applicability in financial services.
• Experience in working with databases using database technologies (e.g. MS SQL, Snowflake, Redshift and PostgreSQL) and data integration products (e.g. Informatica, Data Factory, Bash).
• Extensive data-related experience in programming languages eg Python, SQL, Scala, Javascript, and similar.
• Experience in working with business intelligence and data visualization tools e.g. Tableau, PowerBI.
• Experience with SDLC methodology and/or agile methodologies like Scrum and Kanban and its related applications eg Confluence and JIRA.
• Good team player, with strong analytical skills and enjoys complex problem solving.
• Experience in data engineering platforms and virtualization eg Denodo, Jupyter, O365.
• Excellent written and spoken English and strong presentation skillsets.
• Strong inter-personal and people leadership skills to interact with diverse stakeholders.

Responsibilities:

• Working closely with data analysts and business end-users to implement and support data platforms using best-of-breed technology and methodology.
• Implement and design robust and scalable solutions to meet business needs and take operational considerations into account. Demonstrate technical expertise in the assigned areas.
• Manage operations and maintain SLAs. Implement automation in data management. Collaborate with data engineering, architecture, and governance.
• Perform data and metadata quality, modeling, lineage, cleansing, onboarding, registration, discoverability, access controls, migration, optimization, and cataloging. Execute, maintain and manage the whole data lifecycle.
• Conduct requirement workshops with stakeholders, analyze and translate business and other requirements holistically into data strategies, plans, and actions.
• Cover all aspects of data distribution and data service.
• Design and implement scalable data pipelines and data service modules with robustness in mind to support the growing demands from business users.
• Analyze and resolve day-to-day operational incidents and advisory to business users.
• Listen to upstream changes, perform impact analysis and mitigate-modify-implement.
• Do impact analysis, inform and distribute to downstream users and applications.
• Analyze systems operations data (SLAs, customer satisfaction, delivery quality, team efficiency etc.) to identify actionable trends for continual improvements.
• Data, application, and system checking and testing (eg UAT), CICD and go-live.

Our Client:

• Engineering Industry
• Central Region
• 5 Days, Monday to Friday
• Up to $8,000 per month

Responsibilities:

• Design and build data pipelines infrastructure to collect, process and store data from various sources.
• Develop data assets platform to provide a centralized repository for managing and accessing data assets.
• Implement automated SQL queries based on user-defined criteria or business requirements.
• Use techniques like query templates, metadata-driven generation, or machine learning algorithms to generate SQL queries.
• Create new IPs in Singapore in area of expertise.
• Manage collaboration projects with Institute of Higher Learning or Research Institutes on new technology development.

Requirements:

• Degree / Masters / PhD in Computer Science, Data Science, Statistics Applied Sciences or related field.
• Proficiency in Python, SQL, Java or Scala programming languages.
• Understand data warehousing concepts, ETL (Extract, Transform, Load) processes and tools like Informatica, Talend, or Airflow.
• Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra).
• Familiar with Apache Airflow, Kubernetes or Ansible for automating data pipelines and infrastructure.

For interested applicants, please click "Quick Apply”

We regret to inform that only shortlisted candidates would be notified.

By submitting your personal data and/or resume, you will be deemed to have agreed and consented to us collecting, using, retaining, and disclosing your personal information to prospective employers for their consideration.

Quay Choon Lan Joanne (Guo Chunlan) | EA Reg No: R24121479
JTE Recruit Pte Ltd | EA Lic No: 14C7215

• Design, build and operationalize large scale enterprise data solutions and applications using one or more of AWS data and analytics services in combination with 3rd parties – Spark/Python on Glue, DMS, S3, Athena, RDS-PostgreSQL, Airflow, Lambda, Code Commit, Code Pipeline, Code build, etc.
• Design and build production data pipelines from ingestion to consumption within a big data architecture, using DMS, DataSync & Glue.
• Understand the existing applications (including on-premise Cloudera Datalake) and infrastructure architecture.
• Design and implement data engineering, ingestion and curation functions on AWS cloud using AWS native or custom programming.

Requirements

• Minimum 2 years of work experience with Data Ingestion, ETL, Data Modelling, Data Architecture to build Datalake.
• Proficient in designing, coding, and tuning big data processes using Pyspark.
• Minimum 2 years of extensive experience in working on AWS platform using core services like AWS Athena, Glue Pyspark, RDS-PostgreSQL, S3 & Airflow (for orchestration)

Interested applicants may send in their detailed resumes in MS Word format to [email protected], with subject title: Data Engineer

(Reg. Nos. R1104128)

IT Consultancy & Services Pte Ltd

EA License No.: 92C5311

For more information about ITC, please visit us @ www.itcspl.com

Responsibilities:

• Physical IMACD support
• Installation of server
• Develop, manage, document, and update technical and quality standards.
• Data Center walkthrough services
• Escort Services
• Media management
• Data Sanitation
• site capacity movement
• Monitor and manage environment and equipment.
• Manage the movement of equipment.
• Manage services by third parties security personnel.
• Other ad hoc data center activities as and when required.

Requirement:

• Familiar with Data Center activities.
• Possess server hardware knowledge
• Willing to work on staggered working hours between 7am and 7pm

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.

In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.

You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.

Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a strong focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.

Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.

Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.

Responsibilities

• Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
• Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
• Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
• Define and manage Service Level Agreements for all data sets in allocated areas of ownership
• Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
• Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
• Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
• Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
• Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
• Influence product and cross-functional teams to identify data opportunities to drive impact
• Mentor team members by giving/receiving actionable feedback

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent
• 4+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions
• 4+ years of experience (or a minimum of 2+ years with a Ph.D) with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)

Preferred Qualifications

• Master's or Ph.D degree in a STEM field

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

You will be actively involved in data management of clinical research studies and long-term study databases. Your responsibilities will include:

1) Extract data from medical case report, maintain database, and perform data mining from hospital Electronic Medical Record (EMR).

2) Perform ETL (Extract, Transform and Load) raw data from enterprise data warehouse.

3) Harmonize data from multiple sources and transform raw data into analyzable insights.

4) Perform analysis of registries and databases to identify and interpret key patterns and to support the communication of these insights to internal and external stakeholders on a planned regular basis and on ad hoc requests.

5) Maintain and build AI applications across tumor types, for examples, information extraction, entity recognition and predictive analysis with machine learning models.

6) Database environment scheduled server maintenance and acceptance tests.

7) Cross-institutional access account application and management.

8) Assist the Principal Investigator in submission of accurate and timely closeout documents. Coordinate appropriate and timely payments to participants where applicable.

9) Handle all initial and follow up communications between patients, healthcare professionals, clinical trial industry sponsors and PI/Co-Investigators.

Requirements:

1) Degree or Master in Life Sciences, Bioinformatics, Statistics, Computer Science or Data Science.

2) Have programming and data science background. Data wriggling skills using Python and technical knowledge on SQL are must.

3) Skill and knowledge on other tools like R, programming, OBIEE, JSON, XML, HTML, structured and unstructured data processing and Tableau will have added advantage.

4) Experience in healthcare data and health data standards is desirable.

5) Experience in descriptive and predictive analytics will have added advantage.

6) Meticulous, with excellent organizational and time management skills.

7) Good communication, organizational and interpersonal skills.

8) Ability to complete tasks independently with minimal supervision.

9) Ability to work on multiple projects involving multiple stakeholders concurrently.

Wells Fargo is seeking an APAC Data Management Lead / Senior Lead Data Management Analyst to join the International Data Management team. The team is part of the CIB Data Management team, supporting EMEA & APAC legal entities. The team supports all the businesses and functions within the region and is responsible for creating data sourcing plans for various use cases, end to end management of data quality issues, implementation of enterprise data governance frameworks & supporting adherence to BCBS 239 requirements. Learn more about the career areas and lines of business at wellsfargojob.com.

About the Job

The International Data Management team is looking for an APAC Data Management Lead. A key part of the role will be liaising with APAC stakeholders to understand data requirements & issues and deliver on a timely basis. Lead will also be responsible for execution of Data Governance initiatives in the region.

Responsibilities

• Proactively build partnerships with key senior stakeholders in the region to advance data management book of work in the region
• Partner with key stakeholders (e.g. Finance & Risk reporting teams in the region; global upstream & tech partners) and create data sourcing plans to cater for new regulatory reporting requirements and for strategic data remediation
• Lead end to end data quality resolution (e.g. Data issue triage, performing root cause analysis, partnering with global stakeholders in driving resolutions)
• Take a lead on internal & external audit requests for the data management function in APAC (e.g. understanding the requirements, providing relevant artefacts on a timely basis, ability to clearly explain the process & artefacts to the audit)
• Take a lead on data governance initiatives in the region (e.g. BCBS 239 and local regulatory adherence, Initiatives driven by enterprise data management policy & procedures)
• Prepare and present materials in relevant data councils & senior stakeholder forums (e.g. Steerco)

Required Qualifications:

• 7+ years of Data Management, Business Analysis, Analytics, or Project Management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

• 10-15 years of work experience in banking of which 5+ years spent in a Data Management function
• Sound knowledge of BCBS239 principles and industry adherence practices.
• Experience related to data quality, data enablement & data governance functions
• Ability to influence senior management
• Strong written and verbal communication skills with ability to communicate at all levels
• Strong ability to work independently & exercise independent judgement to identify and resolve problems
• Experience working in matrix organisation
• Exposure to regulatory reporting & project management will be advantageous

We are partnered with an established bank in search of a Manager for thier Data Centre, to oversee the end-to-end operations and maintenance of data center facilities, ensuring high availability, optimal performance, and adherence to stringent security and regulatory standards.

Responsibilities:

• Data Centre Operations & Maintenance:Lead 24/7 operations, ensuring compliance with all regulatory and operational standards, and maintain uptime and system availability.
  Oversee facility infrastructure, including power, cooling, security, and network management to support high-density, mission-critical environments.
  Conduct regular inspections and proactive maintenance to prevent disruptions.
  
• Cluster Supply Organisation Collaboration:Engage actively in a cross-functional team structure, working with agile methods that support rapid, flexible responses to changing conditions and customer needs.
  Embrace iterative development practices, continuously enhancing products and services to deliver valuable functionalities to customers.
  
• Team Leadership & Development:Lead a team of data center technicians and engineers, guiding skill development, encouraging accountability, and fostering a “fail fast” approach to enable rapid correction and adaptation.
  Share specialized knowledge across cells and chapters, maintaining open communication for regular, timely feedback.
  
• Strategic Planning & Process Improvement:Coordinate data center activities, including system installations, upgrades, repairs, and maintenance, aligning with the bank's digital strategy.
  Manage the full product lifecycle, taking quality, compliance, and customer needs into account.
  Implement agile quality assurance and risk management frameworks to ensure secure, reliable operations.
  
• Capacity & Resource Management:Anticipate capacity needs, optimize space, power, and cooling, and manage a budget to ensure cost efficiency while maintaining performance standards.
  Organize and prioritize regular tasks, using a proactive approach to risk, compliance, and resource management.
  
• Security & Compliance:Ensure physical and data security, maintaining compliance with regulatory standards (e.g., PCI-DSS, ISO 27001) and internal policies.
  Coordinate disaster recovery (DR) and business continuity (BC) planning, ensuring frequent failover testing and readiness.
  
• Vendor & Stakeholder Engagement:Manage relationships with vendors and service providers, ensuring adherence to service-level agreements (SLAs).
  Liaise with IT and business stakeholders to align data center activities with broader business goals.
  

Requirements:

• Degree in Computer Science, Engineering, or a related field
• Financial Services experience is a must
• Minimum of 7 years in data center operations
• At least 4 years in a management role in the banking or financial sector.

Main Responsibilities:

• Design, build, and maintain scalable and efficient data pipelines for collecting, processing, and storing large datasets.
• Work closely with data scientists, analysts, and business stakeholders to understand data requirements and deliver high-quality data solutions.
• Develop, implement, and optimize ETL (Extract, Transform, Load) processes for data integration from various sources.
• Ensure data quality, consistency, and accuracy across all systems.
• Perform data cleansing, transformation, and aggregation tasks as part of the data pipeline.
• Monitor, troubleshoot, and optimize data workflows for performance and reliability.
• Design and implement data models and schemas for efficient storage and querying.
• Maintain data infrastructure and ensure best practices for data governance and security are followed.
• Collaborate with cross-functional teams to provide insights and support business objectives through data-driven solutions.
• Continuously evaluate and implement new technologies and tools to improve the performance and scalability of data systems.

Qualifications & Experience:

• Bachelor's degree in Computer Science, Engineering, or a related fields.
• Minimum 10 years of proven work experience with Power BI.
• E2E knowledge in working with Azure.
• Prior experience in developing Power BI including backend data transformation.