Bitrock is a high-end consulting and system integration company, strongly committed to offering cutting-edge and innovative solutions . We thrive on overcoming challenges to help our clients reach their goals, by supporting them in the following areas: Data, AI & ML Engineering; Back-end Engineering, Platform Engineering, Front-end Engineering, Product Design & UX Engineering, Mobile App Development, Quality Assurance, FinOps, GovernanceThe effectiveness our solutions also stems from partnerships with key technology vendors, like HashiCorp, Confluent, Lightbend, Databricks, and Meterian. We're looking for a freelance Data Engineer to join a small, cross-functional team focused on internal process optimization, with a strong emphasis on mapping processes to improve through AI. The team is lean, so we need someone smart and genuinely flexible — comfortable jumping between hands-on data engineering, use-case analysis, scoping, and whatever else needs doing. Own the data lifecycle on our platform: ingestion, ETL/ELT, modeling — built on dbt, Redshift, S3 and related AWS services. Enable agentic workflows: build features that allow AI-driven workflows to be deployed on the data platform. Help with analysis and beyond: scope use cases, analyze problems, and chip in wherever the team needs an extra smart pair of hands — this part of the role is as important as the engineering one. Solid hands-on experience with AWS (S3, Redshift, related services) and dbt. Strong command of modern ETL/ELT patterns and data engineering best practices (testing, versioning, pipeline observability). Smart, curious, and flexible: comfortable with ambiguity, shifting priorities, and contributing outside a strict "data engineer" lane. Our recruitment process has 3 stages: You can apply via LinkedIn or send your cv to [email protected]