26 to 50 of 220 Apache Airflow Jobs in London

Kubernetes Spark & distributed computing dbt Terraform Data Warehousing (we use Databricks but experience with other platforms is fine) MLOps implementation (desirable but not required) Airflow (or other orchestration tooling) Governance Why else you'll love it here Wondering what the salary for this role is? Just ...

formats like Parquet. MLOps Exposure: Experience with tools and frameworks for training, tracking, deploying, and monitoring models in production (e.g., MLflow, Optuna, Prefect, or Airflow). Background in supply chain forecasting, enterprise AI, or retail analytics M.S. or Ph.D. in Computer Science, Artificial Intelligence, Statistics, Data Science ...

Azure (Cloud certifications area plus!). Containerization: Familiarity with Docker or the concept of containerizedapplications. Data Tools: Exposure to any data processing tools like Airflow, Kafka, or Spark. Infrastructure as Code: A desire to learn tools like Terraform/Terragrunt. Financial Tech Interest: An interest in Open Banking ...

formats like Parquet. MLOps Exposure: Experience with tools and frameworks for training, tracking, deploying, and monitoring models in production (e.g., MLflow, Optuna, Prefect, or Airflow). Desirable Background in supply chain forecasting, enterprise AI, or retail analyticsM.S. or Ph.D. in Computer Science, Artificial Intelligence, Statistics, Data Science ...

volumes, large data volumes, or both.Deep expertise in distributed data systems: streaming (Kafka or similar), batch and ELT/ETL frameworks (Spark, Flink, dbt, Airflow or Argo Workflows), and modern lakehouse or warehouse technologies.Strong production Python experience and awareness of other relevant languages (Java/Kotlin) sufficient ...

Data pipeline development and optimisation Lakehouse architectures ETL/ELT frameworks Enterprise data platform implementation Cloud Technologies (AWS) Experience with: Amazon S3 AWS Glue Apache Airflow IAM AWS Lambda (desirable) Preferred Experience Financial Services or Banking sector experience. Experience working within regulated environments. Large-scale cloud transformation programmes. ...

work, not just how fast. We expect you to enjoy leveraging AI and agentic systems to operate more effectively.Tech environmentScala | Spark | Databricks | AWS | Claude | Airflow | Kubernetes | Terraform | Functional ProgrammingYou will thrive here if youEnjoy end-to-end ownership, from writing the code to architecture design to coaching others through ...

writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern ...

building, and operating ETL/ELT pipelines and large-scale data architectures.Hands-on experience with modern data stacks — our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark, deployed via AWS, Docker, and Terraform (experience with similar technologies is essential).Ability ...

high-growth environments.Technical Skills:Experience building and operating ETL/ELT pipelines.Hands-on experience with modern data stacks — our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark, deployed via AWS, Docker, and Terraform (experience with some of these or similar ...

maintaining scalable data pipelines and integrations. Developing robust ETL and data transformation processes to support analytics and reporting requirements. Working with Snowflake, DBT, Apache Airflow, AWS, SQL and Python to deliver high-quality data solutions. Collaborating with Data Architecture, DevOps and business stakeholders to ensure trusted and accessible … ideally within AWS. Data modelling, transformation and orchestration methodologies. Delivering high-quality, well-documented and thoroughly tested data solutions. Experience with Snowflake, DBT and Apache Airflow. Interest in AI and emerging technologies within the data engineering landscape. THE BENEFITS: You will receive a salary ...

datasets— hands-on familiarity with vessel-tracking data, its structure, quirks, and limitations.• SQL— strong proficiency, including query optimization on large datasets.Nice-to-Haves• Apache Airflow (or equivalent orchestration) for scheduling and managing pipelines.• AWS experience (Azure or GCP equally welcome).• Machine Learning experience, particularly applied ...

with using and integrating BI tools such as QuickSight, Looker, Power BI, Tableau • Business Intelligence (BI) knowledge/experience • Knowledge on tools like Terraform, Airflow, DBT and Harness • Modern data engineering practises The environment is that of Facebook or Google, relaxed open with time to think and make ...

Optimise Python performance through effective use of loops , vectorization , threading , and understanding of the Global Interpreter Lock (GIL) . Desirable Experience Experience with Kubeflow , Airflow , or dbt . Hands-on experience with Google Cloud Platform (GCP) . Knowledge of containerisation (Docker, Kubernetes) and CI/CD practices. Familiarity with ...

Optimise Python performance through effective use of loops , vectorization , threading , and understanding of the Global Interpreter Lock (GIL) . Desirable Experience Experience with Kubeflow , Airflow , or dbt . Hands-on experience with Google Cloud Platform (GCP) . Knowledge of containerisation (Docker, Kubernetes) and CI/CD practices. Familiarity with ...

marketing teams to align data solutions with business needs Requirements Strong SQL skills and experience with ETL/ELT and pipeline orchestration tools (e.g., Airflow, dbt, Data Factory) Experience with cloud data platforms (e.g., Azure, AWS, or GCP) Proficiency in data modelling (dimensional, entity-relationship, event-driven) Understanding ...

identify anomalies and ensure data integrity for use by commercial trading and analytics teams. Automate data workflows using Python, SQL, and orchestration tools (e.g., Airflow or similar). Assist in transitioning legacy datasets and codebases into scalable, cloud-native workflows aligned with our modern data architecture. Document data sources ...

MarTech, and marketing teams to align data solutions with business needsRequirementsStrong SQL skills and experience with ETL/ELT and pipeline orchestration tools (e.g., Airflow, dbt, Data Factory)Experience with cloud data platforms (e.g., Azure, AWS, or GCP)Proficiency in data modelling (dimensional, entity-relationship, event-driven)Understanding ...

technical roadmap for data engineering across Elliptic. Leverage and deploy AI and agentic systems to operate more effectively. Tech environment Scala | Spark | Databricks | AWS | Airflow | Kubernetes | Terraform | Functional Programming You will thrive here if you Enjoy end‐to‐end ownership, from writing the code to architecture design to coaching ...

experienced with modern cloud data platforms such as BigQuery, Snowflake, or Databricks.You've worked with data orchestration tools such as Dagster, Airflow, or Prefect. We use Dagster.You're comfortable owning cloud infrastructure. You can work with infrastructure-as-code such as Terraform and own the infrastructure your data systems ...

with data pipelines and ML infrastructure Experience working within AWS (ideally using Sagemaker) and/or Azure Comfort working across our data stack - inc Airflow, Snowflake Experience with version control and CI/CD practices (ideally using GitHub) Rigorous attention to statistical validity - comfortable challenging assumptions and defending methodology ...

components such as S3, Kinesis, DMS, SNS, Glue, Athena, RDSExperience with implementing Rest APIs.Business Intelligence (BI) knowledge/experienceKnowledge on tools like Terraform, Airflow, DBT and HarnessModern data engineering practisesThe environment is that of Facebook or Google, relaxed open with time to think and make the right decisions. ...

databases like Snowflake/Redshift/BigQueryExperience with Python/PySparkExperience with implementing Rest APIs.Business Intelligence (BI) knowledge/experienceKnowledge on tools like Terraform, Airflow, DBT and HarnessModern data engineering practisesThe environment is that of Facebook or Google, relaxed open with time to think and make the right decisions. ...

databases like Snowflake/Redshift/BigQueryExperience with Python/PySparkExperience with implementing Rest APIs.Business Intelligence (BI) knowledge/experienceKnowledge on tools like Terraform, Airflow, DBT and HarnessModern data engineering practicesThe environment is that of Facebook or Google, relaxed open with time to think and make the right decisions. ...

initial 6-month contract. Core Technical Requirements Strong experience with Snowflake for data warehousing, including writing efficient SQL and managing schemas. Proficiency in Airflow for orchestration and workflow management. Hands-on experience with AWS services , particularly S3 for storage and Lambda for serverless processing. Familiarity with Kafka concepts (producers ...