51 to 75 of 165 Apache Airflow Jobs in England

Solid understanding of data modeling concepts (star/snowflake schemas, normalization). Experience with version control systems (e.g., Git) and CI/CD practices. Familiarity with orchestration tools (e.g., Airflow, dbt Cloud, Prefect) is a plus. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable More ❯

Solid understanding of data modeling concepts (star/snowflake schemas, normalization). Experience with version control systems (e.g., Git) and CI/CD practices. Familiarity with orchestration tools (e.g., Airflow, dbt Cloud, Prefect) is a plus. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable More ❯

projects Support talent acquisition and continuous learning initiatives Knowledge and Experience Knowledge of ML model development and deployment frameworks (MLFlow, Kubeflow Advanced data querying (SQL) and data engineering pipelines (Airflow Extensive experience with comprehensive unit testing, integration testing, and test coverage strategies Experience working with Product Management teams and ability to translate complex technical concepts for non-technical stakeholders More ❯

development efficiency and deployment effectiveness, including Azure DevOps or GitHub Considerable experience designing and building operationally efficient pipelines, utilising core Cloud components, such as Azure Data Factory, Big Query, AirFlow, Google Cloud Composer and Pyspark etc Proven experience in modelling data through a medallion-based architecture, with curated dimensional models in the gold layer built for analytical use Strong More ❯

development efficiency and deployment effectiveness, including Azure DevOps or GitHub Considerable experience designing and building operationally efficient pipelines, utilising core Cloud components, such as Azure Data Factory, Big Query, AirFlow, Google Cloud Composer and Pyspark etc Proven experience in modelling data through a medallion-based architecture, with curated dimensional models in the gold layer built for analytical use Strong More ❯

proficiency with data manipulation language including optimization techniques. Strong understanding of normalized/dimensional data modeling principles. Strong knowledge of multiple data storage subsystems. Strong experience of Terraform, AWS, Airflow, Docker, Github/Github actions, Jenkins/Teamcity• Strong AWS specific skills for Athena, Lambda, ECS, ECR, S3 and IAM Strong knowledge in industry best practices in development and More ❯

manipulation, modelling and scripting Experience with cloud services, such as AWS, or Google Cloud for scalable AI/ML development and deployment and knowledge of data pipelining (e.g. via Airflow) A minimum BA/BSc degree in Statistics, Mathematics, Physics, Computer Science or related quantitative degree. Masters/PhD What's in it for you? A range of flexible More ❯

VMWare General/Usage Technical Leadership & Design DevSecOps tooling and practices Application Security Testing SAFe (scaled agile) Processes Data Integration Focused Data Pipeline Orchestration, and ELT tooling such as Apache Airflow, Apark, NiFi, Airbyte and Singer. Message Brokers, streaming data processors, such as Apache Kafka Object Storage, such as S3, MinIO, LakeFS CI/CD Pipeline, Integration More ❯

JIRA project tracking, maintain Confluence documentation, and oversee code design for efficient development and collaboration. - Lead technical design and implementation of data models, ETL processes, and visualisation tools (BigQuery, Airflow, SSIS, Tableau, SSRS). - Define and implement best practices in data modeling, including data warehouse and lakehouse integration (Medallion Architecture). Skills and Experience: - Strong understanding of structured data … operational dashboards. - Advanced proficiency with Microsoft BI Stack: SSIS, SSRS - Strong SQL Server skills and SQL querying experience - Hands-on experience with Google Cloud Platform tools including: BigQuery; Composer; Apache Airflow; Stream; Informatica; Vertex AI - Tableau dashboard development and reporting - Python programming for data analysis - Data modelling (warehouse, lakehouse, medallion architecture) - Understanding of financial and insurance data models More ❯

that this Data Engineer position will require 2 days per week in Leeds city centre. The key skills required for this Data Engineer position are: Snowflake Python AWS DBT Airflow If you do have the relevant experience for this Data Engineer position, please do apply. More ❯

that this Data Engineer position will require 2 days per week in Leeds city centre. The key skills required for this Data Engineer position are: Snowflake Python AWS DBT Airflow If you do have the relevant experience for this Data Engineer position, please do apply. More ❯

monitoring in cloud environments (AWS). Understanding of machine learning lifecycle and data pipelines. Proficiency with Python, Pyspark, Big-data ecosystems Hands-on experience with MLOps tools (e.g., MLflow, Airflow, Docker, Kubernetes) Secondary Skills Experience with RESTful APIs and integrating backend services All profiles will be reviewed against the required skills and experience. Due to the high number of More ❯

executing tests Requirements Strong experience as a Data Engineer (migrating legacy systems onto AWS, building data pipelines) Strong Python experience Tech stack experience required: AWS Glue, Redshift, Lambda, PySpark, Airflow SSIS or SAS experience (Desirable) Benefits Salary up to £57,500 + up to 20% bonus Hybrid working: 1 to 2 days a week in the office 28 days More ❯

skills for data processing and pipeline development. Proven experience writing complex and efficient SQL. Hands-on Snowflake experience (data modelling, performance tuning, pipelines). Familiarity with orchestration tools (e.g., Airflow, dbt) is a plus. A solid understanding of data best practices, version control (Git), and CI/CD. Company Rapidly growing, cutting edge AI organisation Remote working - Offices in More ❯

TypeScript Backend : Python (FastAPI, Flask, or Django), ideally with geospatial data processing Cloud : AWS (Lambda, ECS, RDS, S3, API Gateway, etc.) DevOps : Docker, CI/CD pipelines, Git Orchestration : Airflow or similar tools Eligo Recruitment is acting as an Employment Business in relation to this vacancy. Eligo is proud to be an equal opportunity employer dedicated to fostering diversity More ❯

checks Understanding of agile software delivery and collaborative development Nice to Have: Experience with bioinformatics or large-scale biological data (e.g., genomics, proteomics) Familiarity with orchestration tools such as Airflow or Google Workflows Experience with containerisation (Docker) Exposure to NLP, unstructured data processing, or vector databases Knowledge of ML and AI-powered data products What You'll Bring Strong More ❯

as pytest. Preferred Qualifications Experience working with biological or scientific datasets (e.g. genomics, proteomics, or pharmaceutical data). Knowledge of bioinformatics or large-scale research data. Familiarity with Nextflow, Airflow, or Google Workflows. Understanding of NLP techniques and processing unstructured data. Experience with AI/ML-powered applications and containerised development (Docker). Contract Details Day Rate: £750 (Inside More ❯

as pytest. Preferred Qualifications Experience working with biological or scientific datasets (e.g. genomics, proteomics, or pharmaceutical data). Knowledge of bioinformatics or large-scale research data. Familiarity with Nextflow, Airflow, or Google Workflows. Understanding of NLP techniques and processing unstructured data. Experience with AI/ML-powered applications and containerised development (Docker). Contract Details Day Rate: £750 (Inside More ❯

as pytest. Preferred Qualifications Experience working with biological or scientific datasets (e.g. genomics, proteomics, or pharmaceutical data). Knowledge of bioinformatics or large-scale research data. Familiarity with Nextflow, Airflow, or Google Workflows. Understanding of NLP techniques and processing unstructured data. Experience with AI/ML-powered applications and containerised development (Docker). Contract Details Day Rate: £750 (Inside More ❯

Data Engineer - FinTech - Newcastle (Tech stack: Data Engineer, SQL, Python, AWS, Git, Airflow, Data Pipelines, Data Platforms, Programmer, Developer, Architect, Data Engineer) Our client is a trailblazer in the FinTech space, known for delivering innovative technology solutions to global financial markets. They are expanding their engineering capability in Newcastle and are looking for a talented Data Engineer to join More ❯

S3 and Redshift, particularly around storage, computation and security. Familiarity with modern BI tools such as Power BI or AWS QuickSight. Experience with open-source data stack tools like Airflow, DBT, Airbyte or similar. Strong grasp of software development best practices and CI/CD processes. Skilled in performance tuning, testing, and automation within data engineering environments. Excellent communication More ❯

S3 and Redshift, particularly around storage, computation and security. Familiarity with modern BI tools such as Power BI or AWS QuickSight. Experience with open-source data stack tools like Airflow, DBT, Airbyte or similar. Strong grasp of software development best practices and CI/CD processes. Skilled in performance tuning, testing, and automation within data engineering environments. Excellent communication More ❯

S3 and Redshift, particularly around storage, computation and security. Familiarity with modern BI tools such as Power BI or AWS QuickSight. Experience with open-source data stack tools like Airflow, DBT, Airbyte or similar. Strong grasp of software development best practices and CI/CD processes. Skilled in performance tuning, testing, and automation within data engineering environments. Excellent communication More ❯

S3 and Redshift, particularly around storage, computation and security. Familiarity with modern BI tools such as Power BI or AWS QuickSight. Experience with open-source data stack tools like Airflow, DBT, Airbyte or similar. Strong grasp of software development best practices and CI/CD processes. Skilled in performance tuning, testing, and automation within data engineering environments. Excellent communication More ❯

S3 and Redshift, particularly around storage, computation and security. Familiarity with modern BI tools such as Power BI or AWS QuickSight. Experience with open-source data stack tools like Airflow, DBT, Airbyte or similar. Strong grasp of software development best practices and CI/CD processes. Skilled in performance tuning, testing, and automation within data engineering environments. Excellent communication More ❯