12 of 12 Contract Apache Airflow Jobs in London

clear, structured data engineering framework Build, enhance, and maintain data pipelines within Snowflake Develop transformations and data models using DBT Orchestrate workflows using Apache Airflow Write clean, modular Python code for data engineering solutions Improve pipeline reliability, performance, and observability Introduce and embed CI/CD, testing … Lead level Extensive experience with Snowflake as a core data platform Advanced SQL with strong business logic and modelling capability Experience with DBT, Airflow, and Python Experience building modular, scalable solutions within Snowflake CI/CD pipeline experience, ideally using Azure DevOps Exposure to Docker and modern software engineering ...

data environments (Azure or AWS) Strong communication skills and ability to work across technical and business stakeholders Nice to have Experience with orchestration tools (Airflow, Azure Data Factory or similar) Python for data engineering, automation or testing All candidates must complete standard screening (Right to Work, DBS, credit/ ...

systems for unstructured data retrieval Exposure to cloud infrastructure (AWS, GCP, or Azure) for scalable data pipeline deployment Experience with modern data orchestration tools (Airflow, Prefect, dbt) What We Offer Direct access to senior football operations leadership, with genuine influence over recruitment decisions A greenfield build the opportunity ...

background as a Machine Learning Engineer. Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib). Data transformation & manipulation : experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex AI (developing ML services). Expertise: Solid understanding of computer science fundamentals and time-series ...

analytical data modeling in BigQuery using dbt . Build reliable data pipelines utilizing SQL, Python, and distributed processing frameworks (Apache Spark, Scio, Beam, or Flink). Develop clear, story-driven dashboards using tools like Looker or Tableau . Champion data quality , implement CI/CD for dbt models … years of experience in analytics or data engineering, with deep expertise in SQL. Extensive experience with dbt, a cloud data warehouse , and workflow orchestrators (Airflow, Dagster, Prefect, or Flyte). Proficiency in Python for data analysis and automation. Bonus: Experience with experimentation, ML/AI metrics, or platform productivity ...

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 ...

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 ...

warehousing concepts Familiarity with version control systems, particularly Git Desirable Skills: Experience with infrastructure as code tools such as Terraform or CloudFormation Exposure to Apache Spark for distributed data processing Familiarity with workflow orchestration tools such as Airflow or AWS Step Functions Understanding of containerisation using Docker Experience ...

root cause analysis, managing SLAs, and improving resiliency across business-critical data feeds. Requirements: SQL Python/Bash ETL/ELT support Workflow orchestration (Airflow or Dagster) AWS data services (Athena, S3, MWAA, Iceberg) Data quality monitoring & incident management Nice to Have: Airbyte DBT Apache Spark Grafana ...

Backend: Scala, Java (Python desirable) Frontend: HTML, CSS, JavaScript Frameworks: Play, Spark Data: Postgres, MongoDB, Hudi Cloud: AWS (S3, ECS, Aurora, Lambda) DevOps: Jenkins, Airflow, Terraform Monitoring: Kibana, Grafana Ways of working: Agile (Scrum/Kanban), CI/CD, 'you build it, you run it' What We're Looking … modern DevOps practices Experience working in Agile, multidisciplinary teams Strong analytical and problem-solving skills Clear communicator and collaborative team player Desirable Python, Docker, Airflow Big data tools (e.g. Spark, EMR) Experience with data platforms or risk/fraud systems How You'll Work Deliver value iteratively and early ...

financial services organisation Your new role We are seeking a Data Engineer to support the replacement of a legacy ETL tool with a modern Apache Spark based data platform. This is a hands-on engineering role focused on building and supporting Spark jobs, with an emphasis on performance, reliability … scalability.The role is focused on building nonperformance Apache Spark jobs, with a strong emphasis on performance optimisation. Working in containerised environments using Kubernetes is a key element also as well as experience across Python/Scala and Java.The role sits within a small Agile delivery team of four engineers ...

financial services organisation Your new role We are seeking a Data Engineer to support the replacement of a legacy ETL tool with a modern Apache Spark based data platform. This is a hands-on engineering role focused on building and supporting Spark jobs, with an emphasis on performance, reliability … scalability.The role is focused on building nonperformance Apache Spark jobs, with a strong emphasis on performance optimisation. It is primarily Java-based, with Python strongly encouraged; experience across Java, Python, and Scala is ideal, with Java and Python being the preferred combination.The role sits within a small Agile delivery ...