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Senior full stack engineer designing, building, and maintaining scalable web applications and secure RESTful APIs on a large-scale data and insights platform. Day to day spans AWS cloud services, distributed systems, SQL/NoSQL databases, and AI-assisted development, using JavaScript/TypeScript, Node.js, and React/Next.js.
Senior Data Engineer at Jacobs' Digital & Data Hub, designing, building, and operating enterprise-scale on-premises and hybrid data platforms. Day-to-day is hands-on work building reliable ETL/ELT pipelines and data models using SQL databases (SQL Server, Oracle, PostgreSQL), big data tech (Spark, Hadoop, Hive, Kafka), and orchestration tools like Airflow.
ALM Services Technology Group is hiring mid- and senior-level full-stack engineers in Poland to build and run production web apps and microservices. Daily work spans Python and Node.js backends, React frontends, REST integrations, PostgreSQL/Snowflake data work, Docker, GitLab CI/CD pipelines, and Azure deployment, plus testing, monitoring, and production support.
Builds and automates cloud-based data platforms on AWS, Azure, and GCP for Capgemini's Insights & Data team: writing Infrastructure as Code (Terraform, Bicep), maintaining CI/CD pipelines for data engineering workflows, and keeping infrastructure reliable, scalable, and secure. Hybrid work from Kraków after onboarding.
A streaming data engineer at Data Reply (part of Reply group) who designs, builds and maintains real-time streaming data pipelines, ETL processes and scalable data platforms for clients, and consults on data architecture. Core stack: Kafka ecosystem (and Flink), Python/Java/Kotlin, AWS/Azure, Spark, SQL/NoSQL databases, Docker/Kubernetes.
Senior AI/ML engineer at Mindbox (Kraków, hybrid 2 days/week) who designs, deploys, and owns enterprise-scale AI/ML and GenAI systems end to end — conversational AI, agentic workflows, and RAG applications — using Python, PyTorch/TensorFlow, Docker/Kubernetes, LLM frameworks like LangChain/LangGraph, and MLOps tooling like MLflow and Kubeflow.
Lead a data engineering team serving a major U.S. consumer insights client, designing secure, compliant data structures and scalable pipelines using SQL, Python, AWS (Lambda, Airflow, Redshift) and Snowflake on 200B+ record volumes. Involves team leadership, data security/governance, and direct client communication.
Data Engineer at Mindbox (staffing for an enterprise client) designing and optimizing high-performance data workflows and scalable pipelines from experimental code. Core stack: PySpark, Spark optimization, advanced SQL, Hadoop (Spark on YARN); GCP is a plus. Hybrid role in Kraków, 2 office days per week.
Full stack Python engineer role via Mindbox for an enterprise client, building secure, cloud-native platforms: Python 3.11+ with Django/FastAPI on the backend, TypeScript (Angular, NestJS) frontend, REST APIs, CI/CD, and GCP/Kubernetes/Terraform infrastructure. Hybrid — 6 days/month from the Kraków office.
Platform engineer on the SW Platform team building and maintaining a cloud-native infrastructure platform on AWS that automates and scales HPC and AI workloads — internal CLI tools, CI/CD automation, Kubernetes operators, and observability. Core stack: Linux, Ansible, Kubernetes, Docker, GitOps, IaC, and Python/Go/Rust.
Hands-on technical lead role at IT consultancy Mindbox: leading engineers while primarily building Java/Spring backend microservices and REST APIs, with occasional React + TypeScript front-end delivery, containerized with Docker/Kubernetes in cloud-native environments for an enterprise Risk & Compliance project. Hybrid: 1 day/week in the Kraków office.
A Cloud DevOps Engineer builds resilient, automated AWS infrastructure and works with DevOps, IT, and security teams to roll out central WAF rules, SOC/SIEM integration, and security controls. Hybrid role based in Kraków (6 days/month on-site), heavy on AWS, network security, and compliance reporting.
Consulting firm 1dea seeks 4 contractors for a remote B2B project: 2 GCP Cloud Architects and 2 GCP DevOps Engineers building system integrations and application-layer solutions on Google Cloud. Day to day: GCP architecture design or CI/CD pipelines and Terraform IaC, with afternoon/evening overlap with a US Texas-based team.
Hands-on Senior DevOps Engineer at goodylabs (Łódź) to lead complex infrastructure topics, shape DevOps standards, and work with Docker Swarm/Kubernetes, GitLab CI, Terraform/Ansible, multiple clouds, Cloudflare DNS/WAF, and monitoring/on-call. On-site 4 days/week for the first two months, then less frequent office presence.
Data Engineer in Capgemini's Insights & Data team (Gdańsk, hybrid) designing and building cloud-native data architectures and pipelines on AWS that power analytics and machine learning. Day to day: develop and optimize DWH/Big Data solutions using AWS services like Glue, Redshift, Lambda and S3, plus tools like Terraform, Docker and Airflow within CI/CD environments.
Senior data engineer who designs, builds, and optimizes scalable Apache Spark applications on the Azure stack (Databricks/Synapse/Fabric) using Python (Pandas/Polars, Parquet/Delta Tables) to power AI-driven tools supporting tax services delivery. Also sets coding standards, reviews code, documents workflows, and liaises with the client.
Senior engineer in Capgemini's Insights & Data practice who designs and builds cloud-based data platforms (AWS/Azure/GCP), batch and streaming data pipelines, and MLOps/GenAI-enabled workflows for enterprise clients, working with Spark, Snowflake, SQL/NoSQL, Python/Scala, Docker, Kubernetes, and CI/CD tooling.
Senior Data Engineer building and optimizing ETL/ELT pipelines for varied client projects (4-6 months, extendable) across publishing, banking, healthcare, and other sectors. Core stack: Python, SQL, Snowflake, and dbt, with pipeline orchestration via Airflow or Dagster on AWS, Azure, or GCP.
Fullstack developer at Grape Up, a consulting and technology firm, designs, builds, and maintains cloud-native enterprise applications using Java and React, collaborating with client-side specialists and business stakeholders in Agile teams while contributing to architecture, code quality, and CI/CD best practices. Office-based role in Białystok, Poland.
DevOps Specialist / Cloud Engineer joining GFT Poland's DevOps product team to build, maintain, and improve cloud-based solutions on Google Cloud Platform. Day-to-day combines development and operations: Terraform IaC, CI/CD with Jenkins/GitHub Actions, GKE/GCE and OpenShift workloads, Java/Spring platform components, and observability with Prometheus/Grafana. Hybrid work (2 days/week on-site).
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