Tech jobs
Job listings
Artificial Intelligence (AI) Analyst
The AI Analyst builds and maintains end-to-end AI systems, including RAG pipelines, agent workflows, and data integrations, to automate business processes using Python, SQL, and LLM technologies.
Senior Data Platform Engineer
Architect, build, and scale Depop's data platform using Databricks, Airflow, dbt, and Kafka on cloud infrastructure (AWS/GCP/Azure) with Python or Scala, enabling self-serve data capabilities across the organisation.
Senior/Staff Software Engineer, Data Platform
Build and maintain Sovrn’s data pipelines and warehouse to ensure reliable, high-performance analytics for Open Web businesses using Python, Spark, Databricks, Kafka, and AWS.
Staff Software Engineer - Fleet Management
Build and own Fleet Manager, a Python-based platform that automates provisioning, testing, and remediation of GPU nodes and network switches at scale for Nscale’s AI GPU cloud.
Senior Backend Developer, SCM Tech Fulfillment
Senior developer building and enhancing HelloFresh's Python-based algorithmic production planning engine and FastAPI backend services on AWS, with some React frontend support.
Senior Data Engineer
Designs and builds scalable data pipelines and cloud data platforms to process high-volume financial transactions using Python, Spark, and AWS.
Architect
Architect responsible for designing and optimizing scalable data and workflow solutions using MWAA Airflow, AWS DevOps practices, Python, AWS Glue, and Apache Spark, focusing on robust pipelines and automation for strategic business decisions.
Intermediate Data Engineer
Designs and maintains data pipelines to process large volumes of data using Python, PySpark, SQL, and cloud platforms like Azure, ensuring scalable and secure data integration for business insights.
Senior Data Engineer
Senior Data Engineer at AB InBev builds and maintains data pipelines for the BEES platform using Python, SQL, PySpark, and cloud services to support data ingestion, transformation, and compliance.
Intermediate Data Engineer
Designs and maintains data pipelines for a B2B commerce platform, using Python, PySpark, SQL, and cloud services like Azure to process and integrate large datasets.
Senior Data Engineer
Build and maintain data pipelines for a B2B e-commerce platform, using Python, SQL, PySpark/Scala, and cloud services to process and transform retail data.
Expert Data Engineer in Rating & Limit Management
Expert Data Engineer designing and building end-to-end data solutions for Nordea's credit limit management systems, using Snowflake, dbt, and Airflow.
Senior Data Engineer
Design and build scalable data pipelines and models using Python, DBT, Airflow, PySpark, Databricks, and AWS infrastructure, while ensuring data quality, governance, and compliance.
Senior AI Platform Engineer
Build the shared AI platform layer that lets Oyster teams develop, deploy, and operate secure, production-grade AI applications using LLMs, RAG, agents, and workflows on AWS/Snowflake.
Aws Data Engineer - €30.000 - €40.000 Al Año
Senior Data Engineer role focusing on SAP Data Engineering, AWS, Spark, Python/SQL, Airflow, and containerized environments, with ITIL/ISO support and EMEA travel. Day-to-day tasks include building pipelines, supporting operations, and maintaining SAP data solutions.
Data Engineer - Talend + Pyspark - €42.000 Al Año - Remoto
Data Engineer implementing large-scale ETL/ELT solutions using Talend and PySpark in distributed environments, working 100% remotely on Big Data projects.
Data Engineer - Up To €75.000 A Year
Data Engineer building and maintaining data pipelines, integrating data from multiple sources, and ensuring data quality on an AWS-based stack including SQL, Python, Redshift/Snowflake, Airflow, and dbt.
Data Engineer - €50.000 A Year
Data Engineer maintaining and developing a DataHub using Scala, Spark, Hadoop, and cloud technologies, responsible for data pipelines, CI/CD, and migrating Hadoop infrastructure to cloud/Kubernetes.
Senior Big Data Engineer
Senior Big Data Engineer responsible for designing, developing, maintaining, and optimizing Big Data pipelines using Apache Spark, Azure Databricks, Hive, and Scala/Python, with a focus on performance, scalability, and collaboration with technical teams.