126 to 150 of 235 Apache Airflow Jobs in England

b2c who you will have heard of/used, who are seeking 2x Data Engineers to join them asap on an initial 6 months contract. Python, SQL, AWS, dbt, Airflow (spark/scala a bonus) 6 months Outside IR35 (ltd company) £500-600 per day Asap start More ❯

b2c who you will have heard of/used, who are seeking 2x Data Engineers to join them asap on an initial 6 months contract. Python, SQL, AWS, dbt, Airflow (spark/scala a bonus) 6 months Outside IR35 (ltd company) £500-600 per day Asap start More ❯

b2c who you will have heard of/used, who are seeking 2x Data Engineers to join them asap on an initial 6 months contract. Python, SQL, AWS, dbt, Airflow (spark/scala a bonus) 6 months Outside IR35 (ltd company) £500-600 per day Asap start More ❯

b2c who you will have heard of/used, who are seeking 2x Data Engineers to join them asap on an initial 6 months contract. Python, SQL, AWS, dbt, Airflow (spark/scala a bonus) 6 months Outside IR35 (ltd company) £500-600 per day Asap start More ❯

b2c who you will have heard of/used, who are seeking 2x Data Engineers to join them asap on an initial 6 months contract. Python, SQL, AWS, dbt, Airflow (spark/scala a bonus) 6 months Outside IR35 (ltd company) £500-600 per day Asap start More ❯

Preferred Qualifications Experience in coding for automation (e.g. Scala, Python, Java etc.) Familiarity with writing data pipelines using one or more big data technologies (e.g. Spark, Hive, Trino, Flink, Airflow etc.) Familiarity with modern cloud technologies such as Kubernetes Familiarity with software development lifecycle for data science and engineering Familiarity with commerce, payments, and user experience datasets at online More ❯

GDPR). Strong communication and stakeholder management skills. Preferred: Cloud certifications (AWS, etc.). Experience with API data modeling, CI/CD (GitHub Actions). Familiarity with tools like Airflow, DBT, and Atlan. DONT WAIT APPLY NOW !!! Reference: DRI/AMC/DA Postcode: SW1 4DF #dari More ❯

metadata, and reproducibility. Collaborate with cross-functional teams (science, software, product). Mentor engineers and contribute to institutional data strategy and standards. Tech Requirements Strong Python skills; experience with Airflow, Luigi, or Spark. Proven track record building robust, scalable ETL/ELT systems. Experience with scientific, semi-structured, or biodiversity data. Familiarity with semantic web standards (e.g. Darwin Core More ❯

the role you will have: Creating scalable ETL jobs using Scala and Spark Strong understanding of data structures, algorithms, and distributed systems Experience working with orchestration tools such as Airflow Familiarity with cloud technologies (AWS or GCP) Hands-on experience with Gen AI tools for coding and debugging This is a remote-first role with flexibility to work from More ❯

the role you will have: Creating scalable ETL jobs using Scala and Spark Strong understanding of data structures, algorithms, and distributed systems Experience working with orchestration tools such as Airflow Familiarity with cloud technologies (AWS or GCP) Hands-on experience with Gen AI tools for coding and debugging This is a remote-first role with flexibility to work from More ❯

the role you will have: Creating scalable ETL jobs using Scala and Spark Strong understanding of data structures, algorithms, and distributed systems Experience working with orchestration tools such as Airflow Familiarity with cloud technologies (AWS or GCP) Hands-on experience with Gen AI tools for coding and debugging This is a remote-first role with flexibility to work from More ❯

the role you will have: Creating scalable ETL jobs using Scala and Spark Strong understanding of data structures, algorithms, and distributed systems Experience working with orchestration tools such as Airflow Familiarity with cloud technologies (AWS or GCP) Hands-on experience with Gen AI tools for coding and debugging This is a remote-first role with flexibility to work from More ❯

Bonus skills Experience in any of the following is a plus: Python, Scala, or data processing frameworks Event-driven or distributed system architectures Big data tools (e.g., Hadoop, HDFS, Airflow) Linux and containerisation Why join? This is an exciting opportunity to be at the forefront of large-scale, cloud-first transformation efforts. You'll help shape platforms that power More ❯

Bonus skills Experience in any of the following is a plus: Python, Scala, or data processing frameworks Event-driven or distributed system architectures Big data tools (e.g., Hadoop, HDFS, Airflow) Linux and containerisation Why join? This is an exciting opportunity to be at the forefront of large-scale, cloud-first transformation efforts. You'll help shape platforms that power More ❯

valued skills include: AWS implementation experience using IaC and best practices (EC2, EKS, GPUs, SageMaker, RDS). Curious engineers with good collaborative skills. Data engineering experience with frameworks like Airflow, DBT, Spark. Bachelor's degree in Computer Science, related fields, or equivalent experience. This role will be based in our London office. Purpose of the role To design, develop More ❯

drug discovery, combining quantum-inspired physics with generative models Real-World Impact : Every feature shipped helps scientists prioritize molecules and design better candidates, faster Modern Stack & Challenges : Python, FastAPI, Airflow, Snowflake, Kubernetes, ML workflows, scientific infra, data engineering at scale High Ownership, High Impact : Engineers contribute to architecture, tooling, and scientific decision-making Interdisciplinary Team : Collaborate with chemists, physicists More ❯

optimisation, or demand forecasting problems. Experience with data visualisation tools (e.g., Power BI, Tableau). Familiarity with version control (Git), cloud platforms (GCP, AWS, or Azure), or orchestration tools (Airflow). Experience working in or with aviation, travel, retail, or transportation industries . Experience working in Agile product teams or similar collaborative environments These are full-time positions and More ❯

from you. Key Responsibilities: - Design and build high-scale systems and services to support data infrastructure and production systems. - Develop and maintain data processing pipelines using technologies such as Airflow, PySpark and Databricks. - Implement dockerized high-performance microservices and manage their deployment. - Monitor and debug backend systems and data pipelines to identify and resolve bottlenecks and failures. - Work collaboratively More ❯

You have experience with RAG (Retrieval-Augmented Generation) systems, vector databases, and embedding models for knowledge extraction. You can architect complex workflows. You have experience with workflow orchestration tools (Airflow, Prefect, Temporal) or have built custom pipeline systems for multi-step autonomous processes. You bridge science and engineering. You are comfortable with scientific computing libraries (NumPy, SciPy, pandas) and More ❯

strategy. Expertise in causal inference methods and forecasting. Expertise in data querying languages (e.g. SQL) and scripting languages (e.g. Python, R). Experience with data architecture technologies such as Airflow, Databricks, and dbt. Preferred qualifications: Experience in technology, financial services and/or a high growth environment. Experience with Excel and Finance systems (e.g. Oracle). Equal opportunity Airwallex More ❯

warehouse provider e.g. Databricks, GCP, Snowflake The following would be nice to have Experience in the following Languages: Python Experience with the following tools: Github Lightdash Elementary CircleCI Databricks Airflow Kubernetes DuckDB Spark Data Modelling Techniques e.g. Kimball, OBT Why else you'll love it here Wondering what the salary for this role is? Just ask us! On a More ❯

Java. SQLAlchemy experience. Nice to have skills Experience with Machine Learning (ML): deploying and managing models, creating inference pipelines, and ML Ops practices. Knowledge of ML platforms such as Airflow, SageMaker, Kubeflow, or MLFlow. Experience with distributed computing (e.g., Spark/PySpark). Understanding of cloud ML deployment and model serving on platforms like AWS, Azure, or GCP. Experience More ❯

bonus Proficiency in dbt. Skills in Python/R. Experience with Fivetran, Prefect, Snowflake, and Periscope. Familiarity with writing ETL pipelines using SQL and Python, and orchestration tools like Airflow or Prefect. Background in experimentation. Experience in fast-paced, venture-backed startup environments. At Fresha, we value passion and potential as much as specific skills. If you're enthusiastic More ❯

data engineering Our current tech stack: Frontend Technologies - React, Material UI Backend & Application Frameworks - Go, Node, RabbitMQ Databases - Postgres, MariaDB, MongoDB, ClickHouse, Redis, JupyterLab, Metabase Data Engineering & Orchestration - Python, Airflow, Kafka, DataHub Cloud & Infrastructure - AWS, K8s DevOps & CI/CD - Git, GitLab CI, DBS, Grafana, ELK, Prometheus, Docker, Docker Compose Why join us? Shape the future of a data More ❯

RTDS, gRPC, KAFKA, https api, udp Pipeline: github, Jenkins, TeamCity, Sonar, XLDeploy, Docker, Kubernetes Infra as code: Terraform, ansible, azure cloud Datastores: PostGre, OCP Observability: ELK, Grafana, OpenTelemetry Batch: airflow (python) Security & Compliance: TLS, OAuth2/OIDC, data masking, GDPR/MiFID controls Project & Process: Scrum/Kanban, backlog grooming, metrics driven retrospectives Why join us People join for More ❯