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Senior Big Data Engineer (Spark/Scala/Java)
Build and maintain a cloud-based big-data platform (Spark/Scala/Java) on Azure Databricks for valuation and risk analytics in a global finance team.
Senior Big Data Engineer (Spark/Scala/Java)
Build and maintain the ACQA big-data platform on Azure Databricks using Spark, Scala, Java, and Kubernetes to support valuation and risk systems for finance teams.
Azure Databricks Data Engineer(Cracow/Wroclaw)
Designs and builds scalable HR data pipelines and warehouses using Azure Databricks, ADF, and Spark, automating employee lifecycle analytics with Python/Scala and SQL.
Big Data Engineer (Spark/Scala/Java)
Builds and maintains scalable big-data pipelines on Azure Databricks and Apache Spark using Scala/Java, deploys them via CI/CD and Kubernetes, and ensures platform reliability.
Big Data Engineer (Spark/Scala/Java)
Build and maintain a big-data platform on Azure Databricks using Spark, Scala, and Java to support valuation and risk services for a financial-insurance platform.
Data Engineer z GCP (f/m/x)
Build and maintain scalable GCP-based data pipelines, optimize BigQuery warehouses, and orchestrate workflows with Airflow/Terraform for analytics teams.
Senior Data Engineer (LLM) @ Vecten
Build and maintain data platforms, ETL pipelines, and Gen-AI integrations for a Forbes 500 finance client using Python, Snowflake, AWS, and vector databases.
Remote Mid-Level Data Engineer: Azure/GCP, ETL Pipelines
Designs and builds cloud-based ETL pipelines and data infrastructure on Azure/GCP, working on migrations and modernizations for global clients.
System & Data Engineer (Linux / SQL Area)
Maintains and develops Linux/Windows servers, databases, and real-time data pipelines using SQL, PostgreSQL, Kafka, and Flink to support HR analytics and IoT integrations.
Senior Data Engineer (M/F/D)
Design and build scalable Lakehouse architectures (Bronze/Silver/Gold) using Databricks and Delta Lake to transform logistics data into BI insights, optimizing ETL/ELT pipelines with PySpark and Azure/AWS/GCP services.
Data Engineer - Automation & Innovation Department
Build and maintain scalable data pipelines, automate ingestion from Kafka, MQ, SFTP, and databases, and optimize cloud-based processing in GCP using BigQuery, Dataflow, and Airflow.
System & Data Engineer (Linux / SQL)
Maintains and scales Linux/Windows servers, databases (PostgreSQL, MSSQL, etc.), and real-time data pipelines (Kafka, Flink) while building data warehouses and IoT integrations.
Lead Python Data Engineer
Lead a team building and scaling Python-based data pipelines and models for regulatory reporting in finance, using Spark, Databricks, and Azure to process large volumes of data in batch and stream modes.
Senior Python Data Engineer
Senior Python Data Engineer builds and maintains scalable data pipelines and models for regulatory reporting in finance, using Python, Spark, and Databricks to process high-volume batch and streaming data.
Data Engineer – Azure Databricks
Build and optimize scalable HR data pipelines on Azure Databricks using Spark, SQL, and DevOps practices to power analytics and employee-facing products.
Data Engineer with German
Data Engineer builds and maintains Snowflake-based data pipelines and models for a Swiss mobility client, using dbt, SQL, and Python while collaborating with German-speaking teams.
Azure Data Engineer
Design and build scalable HR data pipelines on Azure Databricks and ADF, focusing on automation, quality, and observability for employee lifecycle solutions.
Azure Data Engineer
Design and build scalable Azure Databricks and Data Factory pipelines for HR analytics, using Python/Scala and Spark to automate data workflows and ensure quality.
Senior/Lead DevOps CI/CD Pipeline Engineer
Design and optimize GitLab Ultimate-based CI/CD pipelines and cloud infrastructure for a solar-energy tech company using Azure, AWS, Terraform, and Ansible.
Python Full Stack Engineer @ Mindbox Sp. z o.o.
Design and build secure, cloud-native platforms using Python, Django/FastAPI, and TypeScript, while improving engineering resilience and DevSecOps practices for enterprise clients.