Top Data Engineer Jobs in Bristol

As a Lead Data Engineer (Consultant) at Kainos, you will be responsible for designing and developing data processing and data persistence software components for solutions that handle data at scale. You will provide strong development leadership for team members, ensure code quality, and meet user needs. Responsibilities include development, design, testing, coaching, and technical advisement.

Design and implement data pipelines, develop data models, write ETL jobs, collaborate with stakeholders, and monitor data pipelines for a B2B sales platform.

Lead and drive the execution of multiple business plans and projects related to data engineering. Implement new architectural patterns and promote high standards of code quality and system reliability. Must have strong hands-on experience with Hadoop, Hive, Apache Spark, and expertise in cloud computing platforms such as Google Cloud Platform (GCP).

Aker Systems, a highly secure enterprise data platform provider, is seeking a Lead Data Engineer to work on solutions that acquire, process, and present data for clients. Responsibilities include coding and testing data pipelines, refining database design, expanding data platform capabilities, and conducting data analysis. The ideal candidate should have experience in data pipeline development, data modeling, Agile methodology, AWS services, Python programming, and Test Driven Development.

Seeking a Senior Data Engineer specialized in Databricks to lead a data transformation program, develop scalable data solutions, and automate processes using generative AI techniques. Responsibilities include architecting data solutions, building data pipelines, optimizing models, and collaborating with cross-functional teams. Must have over 6 years of experience in Data Engineering with expertise in Azure and Databricks technologies.

Seeking a Senior Data Engineer with 5+ years of experience in data engineering. Responsibilities include working with fast-paced companies on data transformation using Google Cloud, ETL/ELT, data warehousing, distributed data processing, and streaming data systems. Skills required include Python, JVM language, SQL, cloud data warehouses, GCP tools, and experience with various data engineering tools and practices.

Join a dynamic team at Ascent specializing in data science and digital transformation. Responsibilities include applying best practices in data communication and user experience. Required skills include Python, Azure, NLP, and version control (git).

Seeking a skilled Data Architect to build and own the Data acquisition strategy and delivery in a global organization. Responsibilities include designing and optimizing data pipelines, technologies, and patterns to feed data models for analytics solutions. Must have extensive experience in data architecture and cloud technologies such as Azure and GCP.