Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Senior engineer on zooplus's Customer Targeting team in Kraków, designing, building, and maintaining scalable data-driven systems and microservices that support marketing campaigns across multiple channels. Core stack: Java/Kotlin, Spring/Hibernate, PostgreSQL/Oracle, and AWS.
Senior Golang engineer on Wakacje.pl's Supply Nexus team, splitting time roughly 50/50 between coding/reviewing and researching data structures and processing techniques to unify data feeds and scale the travel booking engine. Hybrid model with quarterly in-office collaboration in Poland.
Designs and implements data governance processes in GCP for a large Polish telecom operator's data transformation program: building a data catalog, managing metadata, and supporting the migration of analytics from on-premise to the cloud. Core stack: BigQuery, Dataplex, Data Catalog, SQL.
Designs, builds, and maintains scalable data integration pipelines and Python/FastAPI microservices powering enterprise Generative AI platforms — connecting legacy data stores (Hadoop, Starburst, PostgreSQL, MongoDB) to GCP/BigQuery and deploying low-latency RAG solutions with vector stores like PGVector — in a hybrid Kraków role for a global banking client.
Senior data & integration engineer at a global lottery operator in Warsaw, owning data flows and integrations when onboarding new customers to a product application. Day to day: deployment and integration support across databases, services and external systems, troubleshooting and root-cause analysis, using GitHub, cloud platforms, CI/CD and databases.
Implements Data Governance processes on GCP for a large telecom client migrating its analytics estate from on-premise to Google Cloud: data cataloging, metadata, Data Lineage, Data Quality and access standards, working with Data Engineering, BI and data owners. Core stack: BigQuery, Dataplex, Data Catalog, advanced SQL and data modeling.
Builds and maintains a data platform on Azure, implementing infrastructure as code with Terraform and CI/CD pipelines (Azure DevOps or GitHub Actions) using Python and Bash/PowerShell scripting. Fully remote role collaborating with Data, Cloud, and Analytics teams in a global FMCG environment.
Designs and maintains data integration pipelines and Python/FastAPI microservices for Generative AI platforms at a global banking client — connecting Hadoop, Starburst, PostgreSQL and MongoDB with GCP/BigQuery and building low-latency RAG services using vector stores like PGVector. Hybrid role in Kraków (2-3 days/week onsite), B2B contract via Randstad.
Joins a strategic data transformation program at one of Poland's largest telecom operators, designing Data Governance processes on GCP, building a data catalog, managing metadata, and supporting migration of analytics environments from on-premise to cloud. Core stack: GCP, BigQuery, Dataplex, SQL.
Mid-level data engineer role developing a production data platform for regulated sectors (including energy): building Apache NiFi flows, designing PostgreSQL databases, exposing REST APIs over the database, and optimizing SQL queries.
Staff data engineer at InPost UK owning the architecture of a feature store and agentic AI workflows that enable scalable credit decisioning. Day to day you design and drive the data platform, set reference patterns and GDPR-aware governance, collaborating with the Head of Data Engineering and Head of ML on an AI-native stack. Hybrid, with Warsaw/Kraków presence and a B2B contract.
Vice President-level data engineering role at Goldman Sachs' Global Banking & Markets division in Warsaw, building AI-first data governance infrastructure. Day-to-day involves leading architecture and delivery of cloud-native Lakehouse systems (AWS, Databricks, Snowflake), real-time distributed/event-driven platforms, and AI/LLM-powered compliance automation.
Designs and delivers AI solutions on Azure (Azure OpenAI, AI Foundry, Cognitive Services) for cross-industry client projects, wiring AI into enterprise data platforms and pipelines, and stepping into data engineering (ETL) work when projects require. Core stack: Python, Azure AI services, PyTorch/TensorFlow, Databricks/ADF/MS Fabric.
Leads the Data Engineering & Analytics team for InPost Pay, a fintech scale-up inside InPost — building a Databricks lakehouse and feature store, data-quality/lineage frameworks, and agent-first AI pipelines that power credit decisioning. A people-leadership role (hiring, budget, roadmap) with hands-on involvement; offered on a B2B contract in Poland.
Leadership role heading Data Engineering & Analytics for InPost Pay, a fintech scale-up inside InPost. You build and own the data platform end to end — Databricks lakehouse, feature store, data-quality and lineage, and production AI-agent pipelines — while hiring, managing the team, and planning budget and roadmap.
Anchor hire for a new data engineering team inside InPost's fintech build-out: you design and own the feature-store architecture behind credit decisioning (point-in-time correctness, freshness SLAs, lineage), set reference pipeline patterns, and drive agent/LLM-based delivery. Stack centers on Spark/Databricks, SQL, Python, Kafka streaming, CDC and DBT.
Senior data engineer developing a global Azure-based data platform: designing scalable data solutions, building ETL/ELT pipelines, Databricks workflows and Delta Live Tables, and driving migration/modernization to Unity Catalog, while mentoring the team and collaborating with technical stakeholders.
QA automation role at EPAM supporting regulatory reporting for a large investment bank: the engineer builds test scenarios with Robot Framework, Python and SQL, validates ETL processes and data pipelines, checks data quality on large datasets, and helps integrate tests into CI/CD alongside engineers and analysts.
Anchor data engineer for an internal fintech scale-up at InPost: designs and runs batch and streaming pipelines on the Databricks/Spark lakehouse for BNPL and MCA credit underwriting, owns a point-in-time-correct feature store, and builds agentic AI workflows (evals, guardrails) for reliable, observable data delivery.
Anchor senior data engineer for a new fintech data team inside InPost: designs and operates batch/streaming pipelines on a Databricks/Spark lakehouse for BNPL and lending underwriting, owns the feature store, and builds agentic AI workflows with evals and guardrails.
We couldn't check your fit for this role — add a CV to your profile to see it next time.