{"id":3664848,"url":"https://alion.io/job/pauwels-consulting-data-engineer-sql-etl","title":"Data Engineer – SQL & ETL","company":{"id":1959765,"name":"Pauwels Consulting","domain":"pauwelsconsulting.com","url":"https://alion.io/company/pauwelsconsulting","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Brussels, Belgium"],"countries":["BE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Data Vault","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"Jira","optional":false},{"name":"Power BI","optional":false},{"name":"SAS","optional":false},{"name":"SQL","optional":false},{"name":"Superset","optional":false},{"name":"Databricks","optional":true},{"name":"Docker","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-11-02T07:15:05Z","employer_posted_date":null,"last_verified_at":"2026-11-02T07:15:05Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"Responsibilities\nTranslate architectural standards and business needs into concrete functional and technical requirements for data flows.\nDefine data definitions and KPIs within a semantic layer to ensure consistent reporting across the organization.\nImplement and automate data quality rules to detect and resolve inconsistencies in completeness and accuracy.\nDevelop and maintain ETL/ELT processes to provide a reliable publication layer for various business intelligence tools.\nSet up and manage CI/CD pipelines for data models and reports to ensure controlled releases.\nMonitor batch processes and data loads while ensuring compliance with data governance and security policies.\n\nRequirements\nYou bring 5+ years of experience in data engineering, data warehousing, or business intelligence.\nYou possess 2+ years of experience working in a development team utilizing CI/CD workflows.\nYou have expert-level knowledge of SQL and data modeling methodologies such as Kimball, Data Vault, and SCD.\nYou have experience with ETL/ELT processes and batch processing.\nYou're proficient with version control and CI/CD tools including Git, GitHub Actions, Azure DevOps, or GitLab CI.\nYou possess knowledge of BI tools and semantic layers such as Power BI, SAS Visual Analytics, or Apache Superset.\nYou bring experience with data quality and testing automation using tools like dbt tests.\nYou have experience working with Jira or Azure Boards.\nYou're analytical, accurate, and proactive within complex environments.\nYou are fluent in Dutch or French with functional English and a passive understanding of the other national language.\nNice to Haves\nCertifications such as DAMA CDMP, Azure Data Engineer, or Databricks.\nExperience with Python, dbt, Docker, or Azure.\nKnowledge of SAS 9.4, including Base SAS, Enterprise Guide, and DI Studio.\nPrevious experience working within a public sector 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