11 of 11 Apache Beam Jobs in the UK

in Microsoft Fabric and Databricks, including data pipeline development, data warehousing, and data lake management Proficiency in Python, SQL, Scala, or Java Experience with data processing frameworks such as Apache Spark, Apache Beam, or Azure Data Factory Strong understanding of data architecture principles, data modelling, and data governance Experience with cloud-based data platforms, including Azure and More ❯

technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam or equivalent). In-depth knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/Kinesis/MQ/Event Hubs … skills. A minimum of 5 years’ experience in a similar role. Ability to lead and mentor the architects. Mandatory Skills [at least 2 Hyperscalers] GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF Desirable Skills Designing Databricks based More ❯

Advanced-level Python for data applications and high proficiency in SQL (query tuning, complex joins) Hands-on experience designing and deploying ETL/ELT pipelines using Google Cloud Dataflow (Apache Beam) or similar tools Proficiency in data architecture, data modeling, and scalable storage design Solid engineering practices: Git and CI/CD for data systems Highly Desirable Skills More ❯

Advanced-level Python for data applications and high proficiency in SQL (query tuning, complex joins) Hands-on experience designing and deploying ETL/ELT pipelines using Google Cloud Dataflow (Apache Beam) or similar tools Proficiency in data architecture, data modeling, and scalable storage design Solid engineering practices: Git and CI/CD for data systems Highly Desirable Skills More ❯

. Strong problem-solving skills, attention to detail, and ability to work in a collaborative environment. Nice to Have Exposure to real-time data processing and streaming architectures (Kafka, Beam, or similar). Experience working with modern analytics stacks and machine learning pipelines. If you’re passionate about building high-performing data systems and want to join a company More ❯

. Strong problem-solving skills, attention to detail, and ability to work in a collaborative environment. Nice to Have Exposure to real-time data processing and streaming architectures (Kafka, Beam, or similar). Experience working with modern analytics stacks and machine learning pipelines. If you’re passionate about building high-performing data systems and want to join a company More ❯

field. Technical Skills Required • Hands-on software development experience with Python and experience with modern software development and release engineering practices (e.g. TDD, CI/CD). • Experience with Apache Spark or any other distributed data programming frameworks. • Comfortable writing efficient SQL and debugging on cloud warehouses like Databricks SQL or Snowflake. • Experience with cloud infrastructure like AWS or More ❯

environments Relevant technical degree (or equivalent experience) ⭐ Desired Qualifications Cloud certifications (GCP, Azure, or AWS) Experience in a regulated or financial services environment Programming skills in Python, Java, or Apache Beam Familiarity with IaC tools (Terraform, CloudFormation, ARM) Experience guiding or mentoring other engineers Knowledge of data catalogue or governance tools (e.g., DataPlex, Informatica EDC) Experience with CI More ❯

engineers. Proficiency with Python, ML frameworks (TensorFlow/PyTorch), and REST APIs. Practical experience with Terraform, CI/CD, and automation on GCP. Good understanding of BigQuery, Dataflow/Beam basics, and data modelling. Ability to produce clean and clear architecture diagrams and documentation. Strong communication skills and ability to work with clients and internal teams. Good-to-Have More ❯

GPU orchestration (K8s + NVIDIA stack, Slurm, Ray, etc.). Comfort standing up cloud infrastructure from scratch (AWS preferred). Experience building data pipelines (Airflow/Dagster, Spark/Beam, Kafka, Parquet/S3). A bias toward ownership, pragmatism, and building quickly with high quality. London-based or willing to relocate — onsite 3 days per week. Why Join More ❯

indexing, partitioning. Hands-on IaC development experience with Terraform or CloudFormation. Understanding of ML development workflow and knowledge of when and how to use dedicated hardware. Significant experience with Apache Spark or any other distributed data programming frameworks (e.g. Flink, Hadoop, Beam) Familiarity with Databricks as a data and AI platform or the Lakehouse Architecture. Experience with data More ❯