Data Engineer

On behalf of our client, Manpower is seeking a Data Engineer to join a dynamic and innovative Data Engineering team. The successful candidate will play a key role in designing, building, and maintaining robust data infrastructure, enabling reliable analytics, reporting, and future AI-driven solutions. Working closely with analysts, engineers, and business stakeholders, the Data Engineer will translate business requirements into scalable, high-quality data solutions while helping to ensure the performance, security, and reliability of critical data platforms. This role requires strong technical expertise, a proactive problem-solving mindset, and a passion for modern data technologies. The position also involves participation in a 24×7 on-call roster, supporting business-critical systems and ensuring service continuity outside standard working hours. Key Responsibilities Develop a strong understanding of diverse data sources to design, build, and maintain reliable data pipelines and processing frameworks. Collaborate with data analysts and stakeholders to gather requirements and translate them into effective technical solutions. Design, build, and maintain the data warehouse, data lakehouse, and related data repositories. Architect data pipelines around built-in provenance, stable record identities, idempotent operations, explicit reprocessing rules, and observable, replayable failures. Optimise existing pipelines and create new ones to ensure performance, scalability, and reliability. Ensure high data quality and integrity through validation, cleansing, and monitoring processes. Implement and maintain data security, governance, and privacy best practices across all systems. Learn and gain hands-on experience with the existing data warehouse and analytics environment. Stay up to date with advancements in data engineering, analytics platforms, and AI foundations to help build future-ready solutions. Technology Stack Programming & Scripting Linux shell scripting, Python, Bash, PL/SQL ETL / ELT & Data Processing Airflow, dbt, dlt, Kafka, Pulsar, PySpark, Dremio, Talend Databases & Storage Oracle, PostgreSQL, MariaDB Iceberg Tables AWS S3 and modern data lake architectures Columnar Databases Development & Collaboration Tools GitLab, Docker, VS Code JIRA, Confluence, SharePoint BI & Reporting Familiarity with SAP BusinessObjects or Power BI Skills, Behaviour & Competencies Strong analytical skills with the ability to identify requirements and design effective solutions. Self-starter with the ability to work independently and take initiative. Collaborative team player who thrives in cross-functional environments. Fast learner with the ability to quickly acquire new technical skills and knowledge. Strong planning and prioritisation skills to manage multiple tasks and deadlines. Creative problem-solver with a continuous improvement mindset. Genuine curiosity for data and enthusiasm for laying the foundations for AI-enabled technologies. Experience & Qualifications Bachelor’s degree in Computer Science, Engineering, or a related field. 3+ years of experience as a Data Engineer or in a similar technical role. Strong proficiency in SQL and Python. Hands-on experience with data warehousing and data lake technologies (e.g. Dremio, Snowflake, Databricks, AWS S3). Hands-on experience with high-performance columnar databases for OLAP and real-time analytics (e.g. ClickHouse or Apache Doris). Experience with cloud platforms and containerisation/orchestration technologies such as Kubernetes. Experience developing and deploying modern data tools (e.g. Airflow, dbt, dlt, Python frameworks) using GitOps continuous delivery practices (e.g. Argo CD, Flux) within Kubernetes environments. Solid understanding of data modelling, data warehousing, and data lakehouse concepts. Experience with Linux operating systems is considered an asset. Knowledge of telecommunications systems and database administration is considered advantageous. Strong communication skills with the ability to collaborate effectively across technical and non-technical teams.