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Data Engineer
Soil CapitalPosted 10/19/2026full-timeLouvain-la-Neuve • BelgiumMid-LevelSenior💰 €58,000 - €65,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in data engineering, focusing on building and maintaining scalable data platforms and pipelines. Proficient in Python, SQL, and modern lakehouse architectures, with a strong emphasis on data governance and collaboration across teams.
Highest-signal resume keywords
Data Engineering ExperiencePython ProficiencySQL ProficiencyMicrosoft Fabric ExpertiseCI/CD and Data Governance
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Build and own data foundations including curated datasets, serving layers, QA pipelines, and conventions.
- Build and maintain pipelines and ingestion patterns for new data sources, including complex external sources, in the datalake.
- Establish conventions, structures, and shared datasets for consistent data-science work.
- Turn one-off data-science outputs into documented, reusable data products.
- Provide a clean, well-modelled data layer for BI analysts and product teams.
- Set up AI-centered solutions to make data more accessible and useful to internal stakeholders.
- Maintain documentation and lineage so data is discoverable, understandable, and trusted.
- Deploy QA processes that keep data reliable and pipelines green.
- Collaborate with Tech, product, BI analysis, and data science teams to accelerate client-ready insights.
Requirements
What you’ll need- 5+ years of data engineering experience.
- Proven history of evolving data platforms from bespoke, per-project plumbing toward reusable, productised foundations.
- Deep, hands-on expertise architecting and scaling modern lakehouse platforms.
- Microsoft Fabric and Spark (PySpark, SparkSQL) strongly preferred; equivalent Databricks or Synapse experience welcome.
- Fluency in Python and SQL.
- Ability to design robust dimensional and Medallion architectures from scratch.
- Experience architecting ingestion patterns for complex, unfamiliar external datasets, ideally including geospatial or remote-sensing data.
- Experience with CI/CD, deployment pipelines, and data governance, including access, cataloguing, quality, and lifecycle.
- Familiarity with Power BI sufficient to support the reporting layer.
- Hands-on experience with AI-assisted development tools such as Claude Code, Copilot, or Cursor.
- Experience with orchestration and workflow automation such as n8n or Airflow, and dbt or equivalent transformation tooling is nice to have.
- Genuine interest in agriculture, climate, or carbon markets.
- English working proficiency.
Benefits
Comp & perks- Flexible holiday policy: take the holidays you need, while coordinating with your team and respecting the demands of your role.
- Comprehensive health insurance with Alan for you and your family.
- Public transport reimbursement if you come to the office by public transport.
- Flexible remote work up to 2 days per week, provided you coordinate with your colleagues.
- Excellent office in Louvain-la-Neuve, Belgium, with hybrid working; possibly access to London or Paris offices.
- Quarterly company events and visits to Paris and London offices.
- Mission-driven career in a company transforming farming and food sectors.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Pipeline DevelopmentDimensional Architecture DesignMedallion ArchitectureData Ingestion PatternsQA ProcessesData ModelingData CataloguingData Quality ManagementAI-Centered SolutionsWorkflow Automation
Tools & Technologies
Microsoft FabricSparkPySparkSparkSQLPower BIClaude CodeCopilotCursorN8nAirflow
Industry Keywords
Data LakehouseGeospatial DataRemote-Sensing DataAgricultureClimateCarbon Markets