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 at London Stock Exchange Group in Gdynia who designs, builds, and optimizes data-driven solutions powering LSEG's strategic data platforms. Day-to-day work centers on Delta Lake, Change Data Feed, and Azure AKS with event-driven patterns, emphasizing reliability, CI/CD, and observability.
A senior data/integration engineer modernizes an existing ODS platform by building an AWS-native, near-real-time, event-driven integration layer. Day to day: designing data contracts, APIs, and transformations with EventBridge, Lambda, S3, and API Gateway, and migrating legacy ODI integrations.
Big Data engineer at Societe Generale in Warsaw (hybrid), building a financing datahub in collaboration with the Paris team. Day to day: designing, implementing and maintaining scalable Spark/Scala data pipelines from multiple sources with strong data quality, using agile practices and BDD/TDD/DevOps.
Attitude First. Everything else will follow. We can grow together faster if you have: Proven leadership experience in managing backend or cross-functional engineering teams Excellent communication and collaboration…
Samba, a media-intelligence company, seeks a Senior Director in Warsaw to lead a full transformation of its data platform and cloud services — architecting a cloud-native, streaming-first platform (Kafka, Flink, Spark, Snowflake/Databricks, Kubernetes) plus embedding/vector-search ML infrastructure scaling to billions of daily events, while building and mentoring a large platform engineering team.
Senior integration engineer modernizing an Operational Data Store platform by migrating legacy batch/Heroku integrations to an AWS-native, event-driven architecture. Day to day: building APIs and data flows in Python with EventBridge, SQS/SNS, Lambda, API Gateway and S3, integrating Oracle, SQL Server, PostgreSQL, Salesforce and ServiceNow.
Luxoft Poland is hiring a Platform Engineer in Kraków to build and run the ACQA cloud-native platform on Microsoft Azure: scaling Big Data workloads, managing the Databricks environment, and implementing CI/CD pipelines in GitLab for banking stakeholders across Front Office, Finance and Risk.
Senior Data Engineer at BlueSoft in Warsaw building an enterprise data platform for the financial market: designing and maintaining near real-time systems, RabbitMQ integrations, and archiving with two-year retention, with a focus on performance and upkeep of large data volumes. Core stack: PostgreSQL, SQL/PL/pgSQL, Linux.
Field engineer owning day-to-day hardware operations for GPU compute racks at a Warsaw AI-infrastructure campus: server/rack installs, structured cabling, break-fix troubleshooting, IPMI/Redfish diagnostics, and ticketing via ServiceNow/Jira, plus on-call shifts and periodic travel to sites in Sweden and Serbia during a fast multi-country build-out.
Designs, builds, and scales data processing platforms in Sii Poland's Data & Analytics Competency Center, working on Data Lake/data platform architectures, ETL/ELT pipelines in Azure Databricks, and data modeling using SQL, Python, Spark/PySpark, and Azure cloud services.
Data Engineer at Accenture Poland who designs, builds, and maintains scalable data pipelines and processing frameworks for analytics and AI use cases. Daily work centers on Snowflake, cloud platforms (AWS/Azure/GCP), data modeling, and orchestration in collaboration with stakeholders and solution architects.
A data engineer on Accenture Poland's Technology Strategy and Advisory team in Warsaw, designing and building scalable cloud data pipelines and transforming large datasets. Day to day involves SQL, Python and PySpark work across AWS/Azure/GCP and data-lake architectures, in a hybrid/onsite, client-facing setting.
Data engineer on a project for PKO Bank Polski, migrating data processing from Oracle/on-premise to Google Cloud Platform. Day to day: designing BigQuery structures, developing ETL in Informatica PowerCenter, and handling large data volumes in batch and streaming. Remote work with visits to Warsaw; planned start 01.11.2026.
Accenture Poland is hiring a GenAI & Data Engineer to design and build GenAI-powered data/AI solutions, translating GenAI use cases into scalable implementations on cloud platforms and enterprise data environments. Day-to-day is hands-on development with an architecture mindset, including work with Snowflake Cortex; remote/hybrid options apply.
Data engineer on Accenture Poland's AI & Data team building production-grade cloud data pipelines in Azure and Databricks — ingesting and harmonizing multi-source data using SQL and PySpark, while learning to run GenAI/LLM workloads in production alongside senior engineers.
Experienced data engineer (5+ years) at in4ge sp. z o.o. migrating large data warehouses to BigQuery for a global client. Day to day: designing and implementing GCP data solutions, building batch and streaming pipelines, and automating infrastructure, working hybrid from Warsaw.
ITDS is hiring a Senior PostgreSQL Data Engineer to design and maintain efficient, high-availability solutions for a data platform in the financial sector, handling millions of messages daily with tuning and data modeling for near real-time analytics. Core stack: PostgreSQL, advanced SQL, PL/pgSQL, Linux. Fully remote.
Data engineering consultant at Accenture's Technology Strategy & Advisory team (ICH Europe), building big data pipelines and cloud-based data solutions for clients across industries. Core stack: SQL, Python, PySpark, Spark/Databricks/Palantir Foundry, and public cloud (AWS/Azure/GCP), with hybrid work and travel to client sites across Europe.
Senior data/software engineer designing cloud data platforms and modern ETL pipelines on Azure (Databricks, ADLS, Key Vault) using Python and PySpark, delivering scalable data solutions for risk management and client processes. Hybrid work setup based in Wrocław, Poland, with strong CI/CD and stakeholder collaboration.
Data Engineer at IG Group in Kraków designing and operating real-time data pipelines on GCP using BigQuery, Airflow, Kafka and dbt, with strong SQL and Python. Supports analytics, compliance/regulatory data governance and AI-ready data, contributing to GCP consolidation and mentoring junior teammates.
We couldn't check your fit for this role — add a CV to your profile to see it next time.