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Forward Deployed Engineer (Data Management) at Systems Ltd in Lahore: builds AI-ready data products, knowledge graphs, and vector retrieval infrastructure so enterprise data is usable across the company's GenAI and ML practices, owning data pipelines, semantic modeling, and data governance.
Forward Deployed Engineer (Data Management) at Systems Ltd in Islamabad, building AI-ready data products, designing knowledge graphs, and managing retrieval infrastructure to serve AI/ML practices in collaboration with GenAI engineers and data scientists.
Senior Data Engineer role centered on designing, building and optimizing Azure Databricks Lakehouse solutions — batch and streaming pipelines with Spark, PySpark, SQL and Delta Lake, following Medallion Architecture in the Azure ecosystem. The Databricks Certified Data Engineer Professional certification is mandatory.
Izertis is hiring a Senior Data Engineer / Tech Lead to work with a major Travel & Hospitality client in Madrid. Day to day, the person designs and builds data ingestion and transformation pipelines on Google Cloud Platform, manages the project backlog, enforces quality and governance standards, and leads and mentors a team of data engineers.
Senior Data Engineer & BI at BCNC Group in Barcelona (hybrid, 1 office day/week): turns business data into insights, reports and dashboards to drive commercial and operational decisions. Core stack is advanced SQL, Tableau, Power BI and Big Data tools, with Python as a plus.
Data Engineer with a MicroStrategy specialization at Apiux Tech in Madrid (mostly remote with occasional in-person meetings). Day to day: designing and maintaining data integration/transformation pipelines, building ETL processes, data modeling, and managing analytics platforms using Azure, SQL Server, SSIS, SSAS and Power BI.
Data Engineer role at a large Spanish IBEX 35 digital technology company, building solutions that integrate core business with the digital world. Day-to-day work centers on data engineering on AWS with Python; remote or hybrid arrangements and flexible hours are offered.
Designs, builds and maintains data integration and ETL pipelines with data modeling for enterprise analytics platforms, working mainly with MicroStrategy, Azure, SQL Server (SSIS/SSAS) and Power BI. Requires 5+ years' experience; role is based in Spain, hybrid with ~99% remote work.
Profile Software Services is hiring a 100% remote Data Engineer in Spain to build and maintain ETL/ELT pipelines, integrate databases/APIs, optimize data flows, and evolve the data platform using advanced SQL, Python, data warehousing/lake modeling, and a cloud provider (Azure, AWS, or GCP).
A recruiter (Square One Resources) is hiring a Senior Data Engineer to design, build, and optimize scalable Apache Spark applications on Azure (Databricks, Synapse/Fabric) using Python, Pandas/Polars, Parquet, and Delta Tables. The team builds enterprise tech and AI-driven tools that support tax service delivery, with duties including code reviews, performance tuning, documentation, and client com
A senior Java data engineer joins a Kraków-based global team building a strategic cloud-based (GCP) risk platform: designing scalable microservices and data pipelines for large volumes of real-time and batch data, building REST APIs, and maintaining Jenkins/Groovy CI/CD in an agile, distributed environment.
Data Platform Engineer building scalable event-driven services on Apache Kafka (Streams, kSQL, Connect), Spring Boot, and MongoDB, plus GraphQL APIs, Kafka security, and monitoring with Prometheus/Grafana. Hybrid role for a Mindbox client: 1 day per week from the Wrocław office.
Join Link Group's Data Platform team to build and maintain data-driven applications and AI-powered data access tools for institutional finance. Core work is in Python and SQL, with cloud/AWS exposure plus optional Kubernetes, Kafka, and observability tooling.
100% remote Cloud Data Engineer (Poland) hired via recruitment agency Avenga for an international client, responsible for both developing and operating cloud-based data services in an agile, cross-functional team. Core stack: Python, Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Composer, dbt) and Terraform.
Designs, builds and maintains ETL/ELT and data integration pipelines using Informatica PowerCenter, Azure Data Factory, Azure SQL and Microsoft Fabric, writes and optimizes SQL, and helps migrate data environments to Azure while communicating directly with the client. On-site role in Warsaw for an experienced data engineer/consultant.
Senior Data Platform Engineer building an event-driven data platform centered on Apache Kafka in Wrocław, Poland (1 day/month in office). Works at the intersection of data platform, backend and DevOps: Kafka Connect, Kafka Streams/kSQL, Java/Spring Boot microservices, data schemas, MongoDB, and observability with Prometheus/Grafana.
A Data Platform Engineer joins a client project's Data Platform team to build modern streaming solutions on Apache Kafka — designing topics, Kafka Connect connectors, Spring Boot microservices, and a GraphQL layer over MongoDB — while also analyzing business requirements and producing functional/technical documentation.
Senior engineer building and maintaining scalable internal data applications and platform services at Link Group in Warsaw — backend/platform work spanning data infrastructure, metadata services, reliability and operational tooling, using Python or Go with Kubernetes, Docker, AWS and Kafka.
Data Engineer building and maintaining scalable data pipelines and data solutions on Snowflake with SQL for a life-sciences data platform, covering ETL/ELT, data modelling, integration and data quality, in a cross-functional international team. Python is a plus; a 12+ month project commitment is expected.
Senior Data Engineer / Data Platform Engineer joining an international data team in the e-commerce and digital marketplace space, building cloud-based batch and streaming pipelines that ingest petabytes across data lakes and warehouses on AWS and GCP. Core stack: Python/Java/Scala, SQL, Spark, Hadoop/Hive, Airflow, and BigQuery.
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