Tech lead for data engineering in Madrid (hybrid): leads data teams, sets standards, evolves ETL/ELT pipelines and manages the BigQuery data warehouse on GCP. Stack includes Java, dbt and Looker Studio dashboards, plus integrating legacy systems with cloud solutions.
Tech lead role in Madrid (hybrid, 3 days onsite/2 remote) at Grupo TECDATA Engineering: leading development and data teams, setting standards and reviewing code, integrating legacy systems with GCP, designing ETL/ELT pipelines with BigQuery, dbt and Data Fusion, evolving Java 8/JSP/EJB backends on Oracle, and building Looker Studio dashboards.
Tech lead for a team evolving a platform that mixes legacy systems with cloud: designing and optimizing GCP data pipelines (Data Fusion, dbt, BigQuery), building Looker Studio analytics, and maintaining Java 8/EJB backends and Oracle databases. Hybrid role in Alcobendas, Madrid (3 days onsite, 2 remote).
Senior Data Engineer for Grupo Tecdata's Data & AI practice in Madrid (hybrid, remote possible): designs, builds and operates batch/streaming data pipelines and lakehouse platforms on cloud data platforms (Databricks, Snowflake, BigQuery) using SQL, Python, Spark, dbt, Airflow and Terraform, acting as technical lead on client projects.
Senior data engineer who autonomously owns the architecture and development of a big data platform (Cloudera, Spark, Kafka) with a GCP side (BigQuery, dbt, Dataflow, Pub/Sub), building batch and real-time pipelines in Scala/Java/Python with CI/CD and Scrum. Hybrid in Madrid (Alcobendas), 2–3 days remote per week.
Senior Data Engineer leading the architecture and development of a Big Data platform (Cloudera/Spark) integrated with Google Cloud, designing batch and real-time pipelines and data models. Core stack: Spark, Kafka, HDFS/Hive, Kudu, Solr, BigQuery, dbt, SQL, Python. Hybrid role in Madrid (Alcobendas), 2-3 days remote.
Senior Data Engineer at Grupo TECDATA Engineering in Madrid (hybrid) who leads Big Data and cloud architecture while designing and building batch and real-time data pipelines, helping evolve the data platform and deliver value to clients. GCP, Kafka, and data governance experience are valued.
Senior Data Engineer at a consultancy, working on a data platform project for a retail client in Madrid: designing batch and real-time data architectures on Cloudera and Google Cloud, and building ingestion/transformation pipelines with Spark, Scala, BigQuery, dbt, SQL and Python, with production support via Control-M.
Backend developer (hybrid, Madrid) building and maintaining scalable RESTful APIs and microservices for a client tech company. Note: the title says Node.js, but the body centers on Python with Django/Flask, PostgreSQL/MySQL/MongoDB, Git, CI/CD and cloud platforms (AWS/Azure/GCP).
Grupo TECDATA Engineering seeks a Senior Data Engineer in Madrid to migrate a Cloudera big-data environment to Google Cloud Platform, moving storage, processing, and governance to the cloud. The work emphasizes Dataproc, Spark, data quality, and performance/cost optimization.
Senior data engineer modernizing a big data platform by migrating Cloudera workloads to Google Cloud Platform: moving storage (HDFS to GCS) and batch/streaming processing (Spark, Scala, PySpark, Kafka) to Dataproc, adapting governance and security (Dataplex, IAM) to GCP, and validating and optimizing pipeline performance and costs.
Desde Tecdata buscamos 5 perfiles Senior Data Scientist para un proyecto estratégico en el sector retail. Buscamos profesionales autónomos, con sólida experiencia en Machine Learning y forecasting, capaces de liderar…
Senior data engineer who independently owns the architecture and development of a data platform built on Big Data (Cloudera/Spark) with parts on Google Cloud Platform, working hybrid from Madrid. Day to day: batch and real-time pipelines in Spark/Scala and dbt/SQL/Python, BigQuery, data governance, Control-M scheduling and production support.
Senior Data Engineer leading the architecture and development of a Big Data platform built on Cloudera/Spark and Google Cloud Platform. Hybrid role in Madrid: designs data pipelines and data governance while working closely with the Product Owner and clients; permanent contract offered.