Data Engineer

pTÜV Austria Belgium is looking for a highly qualified and motivated Senior Data Engineer to strengthen our team. In this role, you design and implement robust data pipelines, ensure data quality and data governance, and support advanced analytics and AI solutions through scalable data architectures. /ppAre you passionate about building reliable data ecosystems and leveraging modern cloud technologies? Then we look forward to receiving your application. /ph3Key Responsibilities /h3ullipbData Architecture Pipelines: /bDesign, develop, and maintain scalable data pipelines and ETL processes for ingesting, transforming, and delivering structured and unstructured data. /p /lilipbData Governance Data Quality: /bImplement governance frameworks, data catalogs, and quality‑monitoring processes to ensure compliance, integrity, and security across all data assets. /p /lilipbData Integration Storage: /bManage data lakes, data warehouses, and streaming platforms; optimize storage solutions for performance and cost efficiency. /p /lilipbAI Analytics Enablement: /bPrepare, enrich, and curate datasets for machine‑learning and advanced‑analytics projects, ensuring data scientists and AI engineers have seamless access to high‑quality data. /p /lilipbPerformance Optimization: /bMonitor and optimize data workflows for speed, scalability, and resilience, across both cloud environments and on‑premise infrastructure. /p /lilipbCollaboration: /bWork closely with data scientists, software engineers, project managers, and other stakeholders to deliver end‑to‑end data solutions. /p /lilipbContinuous Improvement: /bStay up to date with new technologies in data engineering, big data, and cloud platforms, and promote best practices within the team. /p /lilipbClient Interaction: /bSupport clients in defining their data needs, present technical solutions, and advise on data‑driven strategies. /p /li /ulullipA role in which you actively contribute to the further development and growth of the Digital division within TÜV Austria, with impact on challenging data, analytics, and AI projects across various sectors. /p /lilipA supportive and collaborative work environment with an open and respectful company culture, where colleagues support each other and knowledge sharing is central. /p /lilipAn organization that consciously reinvests its profits in employees, technology, and services, ensuring that you work in an environment that continually innovates and moves forward. /p /lilipExtensive opportunities for professional growth through training in data engineering, cloud platforms, big‑data technologies, data modeling, and AI enablement. /p /lilipA competitive salary supplemented with a comprehensive package of additional benefits, including: /pullipMeal vouchers of 8 euros per working day and eco vouchers of 250 euros per year /p /lilipHospitalization insurance (including outpatient and dental care), group insurance, and the option to add family members /p /lilipYear-end bonus /p /lilipMobile subscription and Bring Your Own Device allowance /p /lilipLaptop /p /lilipCompany car with charging card or mobility budget /p /lilipFlexible Income Plan with options such as extra leave days, purchase of telecom devices, bicycle leasing… /p /lilipSeniority leave starting from 2 years /p /lilipFlexible

working hours
, telework options, and attention to a healthy work‑life balance /p /li /ul /li /ulullipEducation: Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field. /p /lilipExperience: 3–5 years in data engineering, big data, or data platform development. /p /lilipFluency in both written and spoken Dutch and English is required. /p /lilipTechnical

Skills:
/pullipStrong proficiency in Python and SQL; experience with distributed systems (Spark, Databricks). /p /lilipCloud Platforms: /pullipMicrosoft Azure: Azure Data Factory, Azure Data Lake Storage, Microsoft Fabric,Azure Cosmos DB. /p /lilipOther Clouds: AWS (Glue, RDS, Athena, Redshift, S3), GCP (BigQuery, Dataflow). /p /li /ul /lilipData Orchestration Workflow: Airflow, Prefect, Dagster, ADF /p /lilipData transformation: dbt /p /lilipData Warehousing Modeling: Snowflake, DuckDB, BigQuery. /p /lilipStreaming Real-Time Processing: Kafka, Azure Event Hub. /p /lilipVisualization BI: Power BI, Tableau. /p /lilipFamiliarity with CI/CD pipelines (Azure DevOps, GitHub Actions) and containerization (Docker, Kubernetes). /p /lilipInfrastructure as Code: Terraform /p /li /ul /lilipAnalytical Thinking: Ability to design efficient data workflows and troubleshoot complex data issues. /p /lilipCommunication: Clear and concise communication skills for technical and non-technical stakeholders. /p /lilipEthical Standards: Commitment to data privacy, security, and compliance with relevant regulations. /p /lilipBonus: Experience with MLOps and DataOps. /p /li /ul