11 of 11 Contract Apache Airflow Jobs in London

similarly regulated industry. Strong coding skills in Python or Java (Spring Boot); React experience is a plus. Proficiency with modern data tools: Airflow, Spark, Kafka, dbt, Snowflake or similar. Experience with cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes), and CI/CD. Data Quality: Proven ability to validate ...

communicate clearly with technical and non-technical stakeholders Nice to Have Experience with dbt or other transformation frameworks Exposure to data orchestration tools (Airflow, etc.) Understanding of data governance, lineage, and metadata management Experience supporting BI tools (Power BI, Tableau, Looker, etc.) Python experience for data tooling or automation ...

communicate clearly with technical and non-technical stakeholders Nice to Have Experience with dbt or other transformation frameworks Exposure to data orchestration tools (Airflow, etc.) Understanding of data governance, lineage, and metadata management Experience supporting BI tools (Power BI, Tableau, Looker, etc.) Python experience for data tooling or automation ...

Data Engineer: Experience with Databricks , Kafka , or Kinesis for real-time data streaming Knowledge of containerisation (Docker, ECS) and modern orchestration tools such as Airflow Familiarity with machine learning model deployment pipelines or data lakehouse architectures Data Engineer, AWS Data Engineer ...

detailed technical design. Hands-on experience configuring multi-node Hadoop clusters, including resource management, security, and performance tuning. Strong Big Data engineering background using Apache Airflow, Spark, dbt, Kafka, and Hadoop ecosystem tools. Knowledge of RDBMS systems (PostgreSQL, SQL Server) and familiarity with NoSQL/distributed databases such … MongoDB. Proven delivery of streaming pipelines and real-time data processing solutions. Improved job efficiency and reduced runtimes through Apache Spark optimisation and development. Some experience with containerisation (Docker, Kubernetes) and CI/CD pipelines. Delivered streaming pipelines and real-time data processing solutions. Experience replacing legacy ETL tools ...

programming skills in Python; experience with ML libraries such as Snowpark, PySpark or PyTorch. Experience with containerization tools like Docker and orchestration tools like Airflow or Astronomer. Familiarity with cloud platforms (AWS, Azure) and ML services (e.g., SageMaker, Vertex AI). Experience with CI/CD pipelines and automation ...

with analytics, architecture, and delivery stakeholders. Balance operational leadership with longer-term planning and strategy. YOUR SKILLS & EXPERIENCE Essential: Strong experience with Snowflake, AWS, Airflow, and dbt. Proven background leading data engineers in production environments. Experience supporting data platform migrations or major transformations. Confident making technical trade-offs ...

cases are developed in a scalable and sustainable way Communicate complex technical decisions clearly to non-technical stakeholders Technical Environment Strong experience required: Snowflake Airflow dbt Nice to have: AWS (lower priority) Ideal Background Senior or Lead Data Engineer who has progressed into a management/technical leadership role ...

including managing dependencies and build pipelines without internet access Proven background building APIs for data enrichment services Orchestration & data pipeline experience with Prefect or Airflow, and K8s or Swarm Configuration and automation of business workflow tooling (e.g., Jira) Hands-on experience with a range of databases and storage technologies ...

tools and frameworks for data governance, privacy, and quality monitoring, ensuring full compliance with data protection standards. Create resilient data workflows and automation within Airflow, Databricks, and other modern big data ecosystems. Implement and manage data observability and cataloguing tools (e.g., Monte Carlo, Atlan, DataHub) to enhance visibility … data platforms and backend systems. Familiarity with data governance frameworks, privacy compliance, and automated data quality checks. Hands-on experience with big data tools (Airflow, Databricks) and data observability platforms. Collaborative mindset and experience working with cross-functional teams including ML and analytics specialists. Curiosity and enthusiasm for continuous ...

than headcount substitution, aligning with Outside IR35 status . Key responsibilities include: Designing, building, and delivering data pipelines and orchestration workflows using Prefect or Airflow Developing Python-based services and APIs for data ingestion and enrichment Building and deploying containerised workloads using Docker and Kubernetes (or Swarm) Managing dependencies … UKSV DV clearance (minimum 12 months remaining) Strong Python development experience in secure or restricted environments Proven delivery of data pipelines using Prefect or Airflow Hands-on experience with Docker, Kubernetes , and container orchestration Experience operating in air-gapped systems , managing builds without external connectivity Strong understanding of data ...