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Overview Ardanis is currently looking for a Data Engineer to support a client in the hospitality sector in the UK. The role involves collaborating with a small, non-technical internal team to build and refactor a data…
Base pay range Data Engineer (Contract) Location: London (2-3 days onsite) Contract until: 31 December 2026 PAYE via Umbrella Security: BPSS eligibility required The Role We are looking for an experienced Data Engineer…
Data Engineer - Salesforce Experience Essential - Central London Hybrid - £50,000 DoE - J13138 Join an award-winning Insight, Analytics and Data team comprising specialists across data, technology and analytics…
The Senior Data Engineer will design, build, and manage data pipelines and models for energy market stakeholders using Python, Databricks, and Streamlit. The role involves collaborating with data scientists and IT teams to deliver robust, scalable analytics solutions within an Azure cloud environment.
Data Engineer (Microsoft Fabric / SQL / PySpark) Location: Newcastle Upon Tyne | Hybrid Salary: Competitive + Benefits Type: Full-time, Permanent Overview A leading technology and financial services organisation is…
Senior Data Engineer designing and maintaining scalable data pipelines, building ETL/ELT processes, and working with cloud data platforms using Python, SQL, Azure Data Factory, and Apache Spark.
The Big Data Engineering Lead will oversee the development and maintenance of enterprise data pipelines, data models, and services while leading a high-performing engineering team. The role requires expertise in Python, PySpark, SQL, and modern data architecture patterns to ensure scalable and reliable data solutions.
The Data Platform Lead will guide the development of scalable data pipelines and enterprise-grade data solutions while mentoring a team. The role focuses on data modeling, ETL/ELT processes, and maintaining high standards for data quality and lineage using SQL and PySpark.
The Senior Manager of Data Engineering will lead a team to design and maintain scalable ETL/ELT pipelines and data warehouse models. The role focuses on technical strategy, data governance, and cross-functional collaboration using Python, SQL, and cloud-based data platforms.
The Senior Analytics Engineer will build and optimize data pipelines using dbt, Airflow, and ELT practices while developing Power BI dashboards. The role requires extensive experience in data modeling and Snowflake to support analytics and reporting.
The Analytics Engineer will build and maintain data pipelines using dbt, Python, and Airflow while developing Power BI dashboards and data models. The role requires extensive experience in SQL, cloud data warehousing, and dimensional modeling to support business reporting and data quality.
The Data Platform Engineer will design and build production-grade data pipelines and systems to support analytics and AI initiatives. The role involves managing core platforms like Snowflake, dbt, and Dagster while driving data reliability and self-service tooling for the organization.
The Data Engineer will develop and maintain secure ETL/ELT pipelines to prepare and structure data for AI and RAG workflows. The role emphasizes data quality, governance, and compliant access controls.
The Senior Data Engineer will design and maintain scalable data pipelines, ETL/ELT processes, and lakehouse architectures on Azure to support healthcare analytics. The role requires expertise in Python, SQL, and big data technologies like Spark and Kafka to ensure high-performance data processing and compliance.
The Data Engineer will build and maintain secure ETL/ELT pipelines to prepare data for AI solutions, focusing on data quality, integration, and governance. The role requires 3-5 years of experience with SQL, Python, and enterprise system integrations.
Data Engineer at ALL IN GROUP (an e-commerce company) in Munich, owning and developing the data warehouse platform, building ETL/ELT pipelines using Python, SQL, GCP, BigQuery, dbt, SQLMesh, and Airbyte.
Builds and maintains scalable data pipelines, ETL/ELT processes, and cloud-based data solutions for an energy company’s modern data platform, ensuring reliability, performance, and cross-functional collaboration.
Senior Data Engineer building ELT pipelines, SQL transformations, and Snowflake data models to deliver AI-ready datasets, supporting SAP MM procurement processes and S/4HANA migration.
ETL/ELT consultant for a strategic decision-support system, focused on analyzing requirements, modeling, and populating datamarts using Semarchy xDI and SQL.
Data Engineer designing and developing ETL/ELT pipelines, setting up data warehouses and lakes, and maintaining data infrastructure using Kafka, DBT, Spark, Snowflake, GCP, Azure, Kubernetes, and Airflow.
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