1 to 25 of 83 Apache Airflow Jobs in London

complex legacy data pipelines into production-grade PySpark Building scalable, reusable data movement frameworks across multiple engineering teams Driving best practice around AWS Glue, Apache Spark and Apache Airflow Designing high-quality testing frameworks covering performance, data quality and reliability Leveraging Agentic AI development tools to improve … consumed We're looking for someone with experience in Staff, Principal or Lead Data Engineering roles Python and expert-level PySpark AWS Glue Apache Spark Apache Airflow Cloud-native Data Engineering architectures Large-scale data pipeline modernisation Building reusable engineering patterns within enterprise environments Data testing, validation ...

complex legacy data pipelines into production‐grade PySpark Building scalable, reusable data movement frameworks across multiple engineering teams Driving best practice around AWS Glue, Apache Spark and Apache Airflow Designing high‐quality testing frameworks covering performance, data quality and reliability Leveraging agentic AI development tools to improve … data is governed, managed and consumed Qualifications Staff, Principal or Lead Data Engineering roles Expertise in Python and PySpark Experience with AWS Glue, Apache Spark and Apache Airflow Cloud‐native data engineering architectures Large‐scale data pipeline modernisation Building reusable engineering patterns within enterprise environments Data testing ...

bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow®. Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data-driven applications. Trusted by more than … Astronomer lets businesses do more with their data. To learn more, visit www.astronomer.io. About this role: At Astronomer, we’re redefining how companies run Apache Airflow at scale. Our R&D organization is home to some of the most innovative minds in cloud infrastructure and open-source software. ...

bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow®. Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data-driven applications. Trusted by more than … else, and you have real opinions informed by real failures. Experience working on a SaaS/PaaS product across multiple cloud providers. Familiarity with Apache Airflow or workflow orchestration systems. #LI-Hybrid At Astronomer, we value diversity. We are an equal opportunity employer: we do not discriminate ...

software and site reliability engineering. Preferred: Experience with distributed ML frameworks such as Horovod or TensorFlow Distributed. Familiarity with data engineering pipelines such as Apache Airflow or Apache Spark. Knowledge of chaos engineering tools and compliance frameworks such as GDPR, SOC 2, or ISO 27001. Relocation benefits ...

warehousing concepts, ETL/ELT pipelines and dimensional modelling Proficiency in advanced programming languages (Python/PySpark, SQL) Experience in data pipeline orchestration (e.g. Airflow, Data Factory) Familiarity with DevOps and CI/CD practices (Git, Azure DevOps etc) Ability to communicate technical concepts to both technical ...

analytics infrastructure. Set engineering standards, tooling decisions, and technical direction across the data stack (Python, SQL, DBT, AWS: S3, Glue, EMR, Lambda, Aurora, Airflow, Terraform). Ensure data availability, integrity, and performance as the platform scales globally. Drive best practices in data quality, automated testing, anomaly detection ...

managing cloud infrastructure in AWS. Ideally will be a bonus if you have the following... Experience or knowledge of FluxCD, GitOps workflow, Appgate, MongoDB, Airflow (MWAA), Snowflake Experience in Apache Airflow (MWAA), AWS Backup and S3 versioning for business continuity. Programming experience in C#, Python and/ ...

Ansible for repeatable, automated provisioning of GPU clusters and AI platform environments; GitOps (ArgoCD) for continuous, declarative platform delivery. Pipeline orchestration: Kubeflow Pipelines, Apache Airflow, or Argo Workflows to orchestrate multi-stage training, fine-tuning, and inference pipelines. Cluster & workload scheduling: Slurm, Run:ai, and NVIDIA Base Command ...

PyTorch, applying advanced proficiency in supervised and unsupervised learning techniques to solve complex image and video analysis tasks. Implement scalable data pipelines with Apache Spark and Kafka, ensuring efficient ingestion, processing, and transformation of large-scale visual datasets for model training and inference. Evaluate machine learning models using cross … classification performance in vision projects. Guide team members in adopting best practices for code quality, model deployment, and performance optimization, leveraging tools like Apache Airflow for workflow automation. Collaborate with internal stakeholders to define technical requirements and deliverables, ensuring alignment of vision solutions with project objectives and compliance ...

Engineering with a strong focus on ETL/ELT development. Strong proficiency in SQL and Python. Hands-on experience with DBT, Git, Terraform, IAM, Airflow/Composer, and Docker. Cloud platform experience, preferably Google Cloud Platform (BigQuery), with Azure or AWS also considered. Experience building and maintaining modern data ...

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 ...

implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application of real-time monitoring and cloud ...

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 ...

data platforms, migrating legacy environments into cloud-native solutions using the latest AWS and Snowflake technologies. Key skills: Snowflake, Teradata & Informatica Python & SQL AWS, Airflow & DBT GitHub & CI/CD ETL & Data Warehousing Control-M, Unix/Linux Data Modelling & Performance Optimisation You'll design and optimise scalable data ...

roles Strong Python; experience with distributed data systems Relational DB experience (PostgreSQL preferred) NoSQLExposure to vector databases (Qdrant, Milvus, pg vector) Bonus: Spark/Airflow/Kafka, cloud (GCP/AWS/Azure), AI/ML platform experience, early-stage startup bac kground Why Join Build the data foundations ...

reviews to maintain high engineering standards. As a Data Engineer you will have the following key skills Cloud: GCP Warehousing: BigQuery/Snowflake Orchestration: Airflow Backend: Python, SQL, Shell Languages: Scala/Java DevOps: Terraform, Docker, Kubernetes Observability: Monte Carlo BI: Looker AI/ML: MLOps London | 12 Months ...

Comfortable building from scratch in a fast-moving, product-led environment Experience with vector databases and vector search in modern AI systems Desirable: Spark, Airflow, Kafka, Elasticsearch/OpenSearch, event-driven architectures Cloud experience (AWS, GCP or Azure) is a plus Why join High impact and ownership ...

Comfortable building from scratch in a fast-moving, product-led environment Experience with vector databases and vector search in modern AI systems Desirable: Spark, Airflow, Kafka, Elasticsearch/OpenSearch, event-driven architectures Cloud experience (AWS, GCP or Azure) is a plus Why join High impact and ownership ...

tools. Experience building and optimising scalable data pipelines and data warehouses. Knowledge of AWS technologies such as Redshift, S3 and Athena. Experience with Airflow, Fivetran or similar orchestration and integration tools. Strong Linux/Unix and Bash scripting skills. A solid understanding of data quality, governance, lineage and monitoring. ...

technologies and practices such as Docker, Terraform, CI/CD pipelines and infrastructure‐as‐code. Familiarity with MLOps tools and practices such as MLflow, Airflow, model monitoring, API monitoring, data validation, data drift detection, autoscaling and access management. Strong Python experience, with helpful knowledge of Spark or PySpark ...

Backstage experience - software catalog configuration, scaffolder templates, or plugin development* Familiarity with data platform concepts - medallion architecture, lakehouse patterns, or orchestration tools such as Airflow or dbt* Exposure managing Databricks* Practical experience with AI coding assistants (Claude Code, GitHub Copilot, Cursor, or similar) in a professional engineering context* Experience ...

environment. Key Responsibilities Design, develop and maintain scalable data pipelines using Python and Databricks. Build, optimise and support enterprise ETL/ELT workflows using Apache Spark and Delta Lake. Design and develop robust data models and Lakehouse architectures. Implement and manage data workflows within the Databricks ecosystem. Ensure high … commercial experience developing data engineering solutions using Python . Extensive hands-on experience with Databricks , including Workflows, Notebooks and Delta Lake. Strong experience with Apache Spark/PySpark . Proven experience building scalable ETL/ELT pipelines. Strong SQL and data modelling skills. Experience designing modern Lakehouse architectures. Experience ...

Proven experience in a Lead/Senior Data Engineering role Strong handson experience with Snowflake Expertise in ETL/ELT and orchestration tools (e.g. Airflow, dbt, Matillion) Strong SQL and Python skills Experience building scalable data platforms in cloud environments Previous experience leading or mentoring engineers Strong communication ...

Strong cloud data platform expertise, including Google Cloud Platform (GCP). Hands-on experience with BigQuery, Dataflow, Datastream, Data Fusion, Cloud Functions, Dataproc, and Airflow/Composer. Advanced SQL and Python skills. Expertise in data lakes, data warehouses, and modern data architectures. Strong understanding of data governance, lineage ...