76 to 100 of 134 Apache Airflow Jobs in England

necessary infrastructure, resources, and interfaces to enable data loading and LLM workflows. Use Python/Java and large-scale data workflow orchestration platforms e.g. Airflow to construct software artifacts for ETL, interfacing with diverse data formats and storage technologies, and incorporate them into robust data workflows and dynamic systems ...

common CI/CD stack (e.g., Jenkins, CircleCI, GitLab, Azure DevOps) Experience in workflow orchestration with tools such as Argo Workflow, Airflow, and scientific workflow tools such as Nextflow, Snakemake, VisTrails, or Cromwell Experience with application performance tuning and optimization, including in parallel and distributed computing paradigms and communication ...

concepts, experience with LLMs, prompt engineering, or integrating AI capabilities into applications • Data Technologies – Experience with Kafka, PySpark, Parquet and Avro data formats, Apache Airflow for workflow management, or Streamlit for building interactive data applications • Advanced Data Management – Strong SQL design, query optimization, and database architecture expertise • Observability ...

/SD/PP etc.) required for December cutover. Build scalable ingestion pipelines using Delta Lake/Parquet and modern orchestration tools (ADF, dbx, Airflow, etc.). Collaborate with SAP functional teams to validate business logic, deltas, and data quality. Implement CI/CD and DevOps practices for data ...

preferred) or similar platforms: Snowflake, BigQuery, Redshift, Synapse, or equivalent Strong proficiency with: SQL (advanced level) Spark/PySpark Data pipeline orchestration tools (e.g., Airflow, ADF, etc.) Data Modelling Extensive experience designing: Fact and dimension tables Star and snowflake schemas Aggregation layers and semantic models Data Migration & Mapping Demonstrated ...

operating production data systems Strong SQL and Python skills with expertise in large-scale data processing Hands-on experience with modern data stack tools — Airflow, dbt, ClickHouse, BigQuery, Snowflake, or similar Experience with event-driven, real-time or near real-time architectures A first-class approach to data correctness ...

implementing batch and stream data processing systems. Experience with Datadog, SQL, Terraform, Docker, AWS (ECS, Kinesis, SQS, CloudWatch), GCP (BigQuery). Knowledge of Airflow, Kafka, Flink, dbt, Kubernetes is highly beneficial. Good understanding of AI platforms, experience building infrastructure for LLM orchestration (e.g., vector databases, RAG pipelines, GPU scaling ...

creating. You'll have experience with: AWS and cloud-native technologies Snowflake or similar cloud data platforms Data orchestration tools such as Airflow, Prefect or similar Amazon S3 and modern data architectures Postgres and semi-structured data models Designing and building event-driven architectures and scalable systems Building ...

core datasets focused on KYC onboarding events, customer risk scores, alert triggers, and case outcomes. Evangelise and lead adoption of modern tooling (e.g., dbt, Airflow, Snowflake, Python, Looker/Superset) to improve reliability, speed, and trust in analytics. Drive implementation of best practices in data-pipeline instrumentation, monitoring, error ...

Strong hands‐on background with modern cloud data platforms (AWS/GCP/Azure) Expertise across Python, SQL and data orchestration tools such as Airflow Experience building scalable data pipelines and data platforms in a fast‐paced fintech or technology environment A collaborative leadership style with the ability ...

Strong hands-on background with modern cloud data platforms (AWS/GCP/Azure) Expertise across Python, SQL and data orchestration tools such as Airflow Experience building scalable data pipelines and data platforms in a fast-paced fintech or technology environment A collaborative leadership style with the ability ...

Experience with CI/CD, microservices, TDD/BDD. Knowledge of secure system design. Desirable (AI & Data) Vector DBs: Milvus, Weaviate, Pinecone Data orchestration: Airflow, Prefect, Dagster Search: ElasticSearch/OpenSearch AI frameworks: LangChain, Hugging Face MLOps: MLflow, Kubeflow If you are looking for an opportunity to work ...

Experience with CI/CD, microservices, TDD/BDD. Knowledge of secure system design. Desirable (AI & Data) Vector DBs: Milvus, Weaviate, Pinecone Data orchestration: Airflow, Prefect, Dagster Search: ElasticSearch/OpenSearch AI frameworks: LangChain, Hugging Face MLOps: MLflow, Kubeflow If you are looking for an opportunity to work ...

development (React/JavaScript or similar) and web framework (Flask/Django/FastAPI) Highly capable in data pipelining using tools like Airflow & DBT, and data extraction, manipulation and reporting using Python & SQL. Experience with code versioning, optimisation and associated best practices, including Git, pull requests, unit testing ...

Python and SQL, familiarity with Scala or R advantageous Experience with data orchestration and workflow management tooling such as Azure Data Factory or Airflow Please see full job description attached. What you can expect from us We believe doing your best work starts with feeling supported both professionally ...

platforms and pipelines (batch and real-time ingestion). Hands-on familiarity with: Snowflake (or equivalent cloud data warehouse), Looker (or other BI tools), Airflow, Pub/Sub, or similar orchestration and ingestion frameworks. Experience with data infrastructure monitoring and optimization. Strong communication skills. Ability to translate business goals ...

Kubernetes and modern containerised deployment patterns Strong experience with CI/CD pipelines, infrastructure-as-code and workflow orchestration Experience with tools such as Airflow or similar platform and orchestration technologies Good understanding of model observability, data quality, feature pipelines, lineage and reproducibility Experience designing scalable infrastructure ...

libraries (scikit-learn, NumPy, LightGBM, Pandas, LangChain/LangGraph, TensorFlow, etc.) PySpark AWS cloud infrastructure: EMR, ECS, Athena, etc MLOps/DevOps: Terraform, Docker, Airflow, MLFlow Monitoring and evaluation platforms including New Relic and Braintrust More information Enjoy fantastic perks like private healthcare & dental insurance, a generous work from ...

/CD, testing frameworks, type-hinting, code reviews); and can build scalable, maintainable solutions Nice-to-have skills: Experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL and pipeline optimization, or reinforcement learning algorithms Customer collaborator: Comfortable working directly with clients and cross-functional teams, aligning ...

cloud-native architectures, with experience shaping technical direction across teams and stakeholders Solid expertise in relevant technologies such as AWS, Terraform, Kafka/MSK, Airflow, Glue or Spark, and building scalable data solutions Experience with modern data ecosystems including data lakes/lakehouse architectures, Iceberg or similar table formats ...

complex datasets. You can write optimized SQL queries to extract "financial truth". Exposure to other technical skills considered a plus (Dbt, Python, Airflow, BI tools). Foundational Finance Literacy: You don’t need to have a finance/accounting background, but you are comfortable with basic financial concepts. ...

environments and know how to bring out the best in people. Technically strong: You're comfortable with modern data stacks like Databricks, Spark, Airflow, SQL and Python - and you can go deep when needed. Cloud-savvy: You understand distributed systems and cloud platforms, and how to make them work ...

Python for data or platform engineering •Strong proficiency in Linux systems and command-line environments •Experience with MLOps tools such as MLflow, Kubeflow or Airflow •Familiarity with monitoring tools such as Prometheus or Grafana •Experience with containerisation and orchestration (Docker, Kubernetes, Terraform) •Understanding of CI/CD pipelines ...

tools like Looker, Grafana, Lightdash, or Superset Ability to build and manage data pipelines that are modularised and scalable, using tools like DBT and Airflow Familiarity with observability/reliability concepts (SLIs, SLOs, incidents) Some experience with Python/data transformation (DBT, etc.) is helpful This ...

Python, Bash, Ansible, Puppet) Familiarity with containerisation (Docker, Kubernetes) Nice to have: Experience with CI/CD pipelines (GitLab, Jenkins) Exposure to data tooling (Airflow, NiFi, Elasticsearch) Experience with Cloudera/Hadoop ecosystems (Spark, Hive, HDFS) Why join? Work on modern data platforms at scale Collaborate with data scientists ...