Data Engineer

Manpower is seeking a talented and motivated Data Engineer to join our Client's dynamic Data Engineering team. In this role, you will play a pivotal part in designing, developing, and maintaining our data infrastructure.

This is an exciting opportunity to be at the forefront of building and evolving a brand-new data lake house from scratch a rare learning experience for professional growth. Additionally, the role provides invaluable exposure to the telecommunications industry, offering a wealth of knowledge and hands-on experience.

Key responsibilities

• Gain a deep understanding of the companys diverse data sources to design, build, and maintain reliable data pipelines and processes.
• Collaborate with analysts to understand data requirements and translate them into technical solutions.
• Design, build, and maintain the data warehouse, data lakehouse, and other data repositories.
• Optimise and create new data pipelines to ensure performance, scalability, and reliability.
• Ensure data quality and integrity through validation and cleansing processes.
• Implement data security and privacy best practices across all systems.
• Learn and gain hands-on experience with the existing data warehouse environment.
• Provide 24/7 support for data infrastructure and pipelines as part of an on-call rotation.
• Stay up-to-date with the latest advancements in data technologies and AI foundations to help lay the groundwork for AI-driven solutions.

Tech stack

• Languages: Linux shell scripting, Python, Bash with PL/SQL.
• ETL/ELT Tools: Oracle, Airflow, dbt, PySpark, Dremio, Talend.
• Databases: Oracle, PostgreSQL, MariaDB, and Iceberg tables (e.g., Parquet).
• Storage Systems: AWS S3 and other modern data lakes.
• Development Tools: GitLab, Docker, VSCode.
• BI Reporting: SAP BusinessObjects, Power BI.
• Collaboration Tools: JIRA, Confluence, SharePoint.

Behaviour and competencies

• Strong ability to analyse and solve complex problems by identifying requirements and developing effective solutions.
• Self-starter who can work independently and take initiative.
• Effective team player who thrives in collaborative environments.
• Rapid learner with the ability to acquire new knowledge and skills quickly.
• Strong planning and prioritisation skills to manage multiple tasks effectively.
• Creative thinker with strong problem-solving abilities.
• Curiosity for data and enthusiasm for building foundations for AI technologies.

Credentials and experience

• Bachelors degree in Computer Science, Engineering, or a related field.
• 2+ years of experience as a Data Engineer or similar role.
• Strong proficiency in SQL and Python.
• Hands-on experience with data warehousing and data lake technologies (e.g., Dremio, Snowflake, Databricks, AWS S3).
• Familiarity with cloud platforms and container orchestration (e.g., Kubernetes).
• Experience with data tools like Airflow, dbt, and Python libraries.
• Solid understanding of data modelling, data warehousing, and data lakehouse concepts.
• Experience with Linux operating systems is an asset.
• Knowledge of telecommunications and database administration is a plus.
• Strong analytical skills with a problem-solving mindset.
• Excellent communication and collaboration abilities.

Benefits

• Hybrid and flexible work environment
• Modern open-plan office space
• Health insurance
• Free company services
• Free parking
• Social events and team-building activities
• Referral program with paid compensation