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RemoDevs is hiring a self-reliant data engineer for a 3–6 month project in Kraków: building, maintaining, and optimizing PySpark data pipelines and working with Databricks on large datasets. Requires advanced PySpark/SQL, mid-level data engineering experience, and cloud skills (Azure, AWS, or GCP).
AWS DevOps Engineer at Xebia Group (Poland) who maintains CI/CD pipelines and cloud infrastructure across cloud and air-gapped environments, automates deployments, and guides development teams on best practices. Core stack: AWS, CI/CD, and infrastructure-as-code.
DevOps Engineer at Capgemini in Wrocław (hybrid) who designs and maintains CI/CD environments, automates deployment processes, and supports cloud and on-prem infrastructure. Day to day involves building pipelines, scripting, testing, and documenting solutions, with German used to collaborate with stakeholders and project teams.
Remote senior data engineer for a long-term international client project: designing, building and maintaining scalable data solutions and pipelines in Azure Databricks, plus technical consulting. Requires 6+ years in data engineering/analytics and 4+ years with Azure, SQL, Data Lake and Data Factory.
A mid-level DevOps engineer joins Sii's Financing Services Interfaces (FSI) team in Warsaw, developing and operating applications that support global financing activities. The work centers on automation and continuous delivery in an agile setting, using Java; the role is hybrid, requiring three office days per week in Warsaw.
Mid-level DevOps engineer (with Java) joining the Financing Services Interfaces (FSI) team in Warsaw, developing and operating applications that support financing activities globally. Focus is on automation and continuous delivery in an agile environment, with required office presence in Warsaw three days a week.
Backend developer building high-performance, low-latency components for distributed trading systems hosted on AWS. Core stack is Java (or C++) on Linux, with emphasis on concurrency, distributed systems, and AWS EC2.
Mid-level data engineer for a 3-6 month project developing, maintaining, and optimizing data pipelines in PySpark with Databricks for large-scale data processing. Day to day: integrating data from multiple sources, tuning SQL queries, implementing data quality checks, and fixing performance issues.
Senior DevOps engineer owning GCP cloud infrastructure for a regulated financial environment in Kraków: automating with Terraform, maintaining CI/CD pipelines, and collaborating with global IT teams to ensure reliability, in a hybrid model with regular office visits.
DevOps Engineer at Sii Ukraine's Warsaw office, joining the Financing Services Interfaces (FSI) team to build and operate strategic applications supporting global financing activities, with a focus on automation and continuous delivery in an agile environment. Office-based in Warsaw three days a week, collaborating with international teams.
DevOps engineer on Sii Sweden's Financing Services Interfaces (FSI) team in Warsaw, building and operating strategic applications for global financing activities with a focus on automation, continuous delivery, and hands-on Java development. Requires on-site work in the Warsaw office three days a week.
A Java developer building secure, compliant cloud-native applications on Azure — both greenfield projects and modernization of existing apps. Day to day involves Java/Azure development with GitHub Copilot and AI agents used across delivery under human oversight.
Lead DevOps Engineer at Cantor Fitzgerald Ireland: owns CI/CD pipelines and artifact management across multiple engineering teams in a fintech setting, mentors staff, and drives the migration to GitLab (with Jenkins/GitHub during the transition) while adopting GCP alongside existing on-prem deployment. Based in Poland.
DevOps engineer at Xebia Group (Poland) who manages deployment and release processes across development, lab, and production environments, designs and improves infrastructure delivery, and helps teams adopt DevOps. Core stack includes AWS, Azure Pipelines, and on-premises infrastructure, with a focus on performance and cost efficiency.
Nordea Bank Norge ASA is seeking DevOps engineers to operate, monitor, and automate data pipelines and applications within the Default Management team in the High Risk Data Domain. The role focuses on building CI/CD…
Data engineer (hired via DCG, a recruitment/staffing firm, for a client project) designing, building, and optimizing data pipelines and detection/scoring logic for Capital Markets AML financial-crime scenarios. Core stack: Python, Java/Scala, Apache Spark (PySpark), SQL, Quantexa, and on-premise distributed clusters with Bamboo/Jenkins CI/CD.
Lead Data Engineer to architect and own a greenfield data warehouse on Azure — from ingestion (Airbyte/Fivetran) through Snowflake and dbt to the BI/semantic layer — while leading the data team's roadmap, quality standards, and executive stakeholder communication. Fully remote role for candidates based in Poland, Croatia, Costa Rica, Argentina, Colombia, Mexico, Brazil, or Portugal.
Designs, builds, and operates cloud-native, highly available infrastructure across multi-cloud environments, maintaining Terraform IaC, Docker/Kubernetes containerized services, and GitOps-driven CI/CD pipelines. Based in Krakow with remote options, with a strong emphasis on zero-trust security, least-privilege access, and security governance.
Data engineer building unstructured-data pipelines for an AI project at Scalo: designing ETL flows, OCR/ASR and document extraction, embeddings and semantic search with Qdrant, Python or Rust services, REST APIs, and event-driven processing via Kafka/Pub/Sub. Hybrid — 1 day/week from the Warsaw office; budget up to 140 PLN/h.
Senior Data Engineer joining a high-seniority group serving a client's ~30-person Data Management organization in Poland, driving strategic initiatives: migrating a data platform to Databricks, building an AI/RAG-powered conversational data-discovery solution, and evolving a reusable Data Foundation. Hands-on with Azure, Databricks, Python, PySpark, and SQL.
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