Data Engineer

Pareto is looking for a Data Engineer to design and build end-to-end data pipelines for production use across diverse client environments. You will work on clients’ data platforms, typically as a data engineer, occasionally as a data architect or technical lead when the project calls for it. Projects span industries such as technology, manufacturing, defense, energy, logistics, healthcare, and the public sector. Your work focuses on pipelines from source systems to cloud platforms, modeling curated datasets for analytics/AI, implementing data quality checks, and collaborating with platform engineers on security and deployment. You will influence client projects, architecture decisions, and engineering practices. At least 5 years of experience in data engineering with production-grade pipelines, strong SQL, and solid data modeling. Hands-on experience with a cloud data warehouse or lakehouse such as Snowflake, Microsoft Fabric, Databricks, BigQuery, or Synapse. Knowledge of incremental processing, late-arriving data, and safe reprocessing. Ability to communicate with clients in business terms. Experience with medallion architectures, time-series or industrial data, Delta Lake or similar lake formats, and data quality frameworks is valued. Salary based on your experience: 4500–6500 EUR/month. Comprehensive benefits including occupational healthcare, travel insurance, lunch and recreation benefits, phone/internet allowances, and tools. Regular presence at Tampere office required. Remote status: Hybrid. Apply by sending your CV and a note about what you’re looking for. Rolling interviews.

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