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The Data Engineer will build and maintain highly scalable, fault-tolerant data processing pipelines for Allegro's massive clickstream data. The role involves working with Scala, Java, or Python within a Google Cloud Platform environment to support large-scale batch and real-time data processing.
Designs, builds, and automates data pipelines on Google Cloud Platform for a banking client, using Python, BigQuery, and Cloud tools to ingest, transform, and industrialize data workflows in an Agile environment.
Solstice is seeking a Data Engineer to build and own the end-to-end data foundation for their pharmaceutical marketing and media measurement platform. The role involves designing pipelines to ingest, reconcile, and model complex third-party data using Python, SQL, and modern cloud data stack tools.
A Data Engineer owning the transformation and modeling layers of a data warehouse, building scalable pipelines with Google BigQuery and Dataform using Kimball methodology to power business intelligence.
Designs and builds Google BigQuery data models with Dataform to power analytics and BI, writing optimized SQL and enforcing data quality.
Build and maintain data pipelines using SQL, Python, and cloud tools to power AI-driven decisions across ZURU’s global operations.
The Quality Assurance Engineer will ensure data accuracy and reliability by testing complex ETL/ELT pipelines and data platforms within an Agile environment. The role focuses on automation-first data validation using SQL, scripting languages, and modern data platforms like Snowflake or Databricks.
Schwarz Digits is seeking a Full-Stack Data & AI Engineer to design, implement, and operate data-driven solutions using technologies like PySpark and BigQuery. You will work in an agile, cross-functional team to build and maintain end-to-end data products while ensuring high quality through automated testing.
Erfahrung : Du hast mindestens 4 Jahre professionelle Erfahrung im Data Engineering oder der Softwareentwicklung (außerhalb deines Studiums) und bist bereit für eine technische Führungsrolle (oder bringst bereits erste…
Senior Data Solutions Engineer providing data consultancy to clients—designing cloud data platforms on Azure/AWS, leading architecture and delivery across the data lifecycle, and mentoring project teams.
Role: Senior Data QA Engineer Reporting To: Head of Data Salary: £75,000–£85,000, dependent on experience Working Location: 1 - 2 days a week, hybrid to London office PropTech | SaaS | Data Engineering About Searchland…
The Senior Data QA Engineer will own data quality, validation, and anomaly detection for core pipelines at a prop-tech company. The role involves collaborating with engineering teams to maintain data integrity and scraper health using Python, SQL, dbt, and BigQuery.
Job Title Data Pipeline & Systems Manager (Digital Marketing) Salary £45,000 - £55,000 Company Description ethix digital is a 10-person London-based digital marketing agency founded by ex-Brainlabs experts,…
Lead the technical architecture of IG Group's GCP data platform (BigQuery, Kafka ingestion), drive the GCP consolidation programme in London, and mentor engineers while raising data quality standards across divisions.
MLOps/ML Engineer taking models from experimentation to production using GCP Vertex AI, Python, BigQuery, and data pipelines in a hybrid role in Madrid.
Build and maintain scalable data pipelines for customer identity resolution in a large e-commerce platform using BigQuery, Python, and Airflow.
Senior Data Engineer building real-time and batch data pipelines for a programmatic advertising platform, using Python, SQL, Kafka, and cloud data warehouses (BigQuery/ClickHouse) on AWS/GCP.
Senior Data Engineer owning end-to-end data pipelines and customer identity matching in a complex analytics environment, building scalable workflows with BigQuery, Python, Airflow, and GCP.
Design and maintain robust data pipelines for clients, ensuring data quality and security, while also contributing internally to knowledge sharing and code templates. Core technologies include Big Data tools, SQL/NoSQL databases, Python/Java/Scala, and cloud platforms.
The Analytics Engineer will design and maintain data transformation layers and dimensional models to support BI reporting. The role involves collaborating with stakeholders to define requirements and building reliable analytics infrastructure using SQL, dbt, and modern data warehouse technologies.
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