Tech jobs
Job listings
DATA SCIENTIST AND AI ENGINEER WITH DATABRICKS
Design and implement end-to-end AI solutions using Python, PySpark, Databricks, Postgres and open-source LLMs like Qwen, building data pipelines, RAG systems and AI agents for enterprise clients.
Senior Python Backend Engineer - Microservices & Data
Senior Python engineer building scalable microservices and distributed systems with PostgreSQL, ClickHouse, Kafka, and Redis in a product-focused team.
Senior Data & Machine Learning Engineer
Build and productionize ML models and data services that power real-time credit and fraud decisions for SMEs, using Python, FastAPI, SQL, and AWS.
Data Engineering Manager Barcelona, Spain
Lead a team to design and build scalable cloud data platforms and AI infrastructure using Python, PySpark, SQL, and Azure services.
Senior Data Platform Engineer - Snowflake/Azure & Salesforce
Design and build cloud-native data platforms using Snowflake, dbt, Airflow, Python, and SQL, integrating Salesforce data for analytics and governance.
Data Architect: Pipelines, Security & Transformation
Builds and secures data pipelines for analytics, using Python, SQL, and orchestration tools like Airflow to ingest and transform data.
Senior Software Engineer - Data Platform
Build and scale data pipelines and services for a sustainability-focused AI platform, using SQL, ETL/ELT tools like Airflow, and modern data warehousing to power analytics and decision-making.
Analytics Engineer — Data Products & Warehouse Architect
Owns a core data domain’s warehouse, defines modeling standards, and builds a semantic layer for AI agents and stakeholders using SQL, dbt, Airflow, and CI/CD.
Data Analytics & Automation Engineer (GCP, Snowflake)
Builds and automates data pipelines on GCP and Snowflake using DBT, Prefect, and Airflow to deliver analytics for audit teams.
Data Engineering Manager
Lead a team to design and build scalable cloud data platforms, ETL/ELT pipelines, and AI infrastructure using Python, PySpark, SQL, and Azure services.
Remote-First Data Engineering Intern: Build Scalable Pipelines
Build and maintain scalable data pipelines in Google Cloud using Airflow, dbt, BigQuery, Pub/Sub, and Snowflake to enable reliable data ingestion, transformation, and analytics.
Data Engineering Manager
Lead a remote team of data engineers to build and scale Airalo’s cloud data platform (GCP/BigQuery) and pipelines, turning raw travel data into actionable insights for product and growth decisions.
Data Engineering Manager
Lead a team to modernize a data platform using Python, SQL, Snowflake, AWS, and Airflow, transitioning from contractors to an internal high-performing unit.
Data Engineering Team Lead
Lead a Data Engineering team at a global ad-tech DSP, building scalable pipelines, feature stores, and data-quality frameworks to power real-time bidding ML models in a high-growth mobile advertising platform.
Senior Data Engineer Experienced Professional IT Canary Islands + 1 07/08/2026 New
Build and maintain a customer identity data pipeline for a large European ecommerce platform using BigQuery, Python, Airflow, and Splink to unify customer records across multiple verticals.
Senior Data Platform Engineer (#5647)
Design and maintain a hybrid cloud data platform (AWS + GCP/BigQuery) for a European fintech, building data lakes, pipelines, IAM, and observability to power analytics and AI transformation.
Senior Data & GenAI Engineer/Consultant - Barcelona
Build and scale data-driven and generative AI solutions for global clients in banking, pharma, and public sector using cloud platforms, Spark, and Azure OpenAI.
Cloud Data Platform Engineer — Remote-First, Global Scale
Build and maintain cloud data infrastructure using Terraform on GCP, automate pipelines with GitLab CI, and scale Airflow for analytics teams.
Data Platform Engineer — Lakehouse & Governance Lead
Design and run large-scale data pipelines, lakehouse architectures, and governance for analytics and AI workflows using Python, SQL, Spark, and Airflow/Argo.
Hybrid Data Platform Engineer - Snowflake & AWS
Builds and maintains Snowflake and AWS-based data infrastructure, automates pipelines with Terraform, and ensures secure, scalable analytics across 60+ countries.