25 of 25 Apache Airflow Jobs in the North of England

data modelling Python preferred, or similar, for automation and pipeline development Cloud exposure across AWS, Azure, or GCP Familiarity with tools like dbt, Airflow, or equivalents Good habits around governance, security, documentation, Git, and CI/CD You’ll thrive if you’re Curious, motivated, and pragmatic, you care ...

data modelling Python preferred, or similar, for automation and pipeline development Cloud exposure across AWS, Azure, or GCP Familiarity with tools like dbt, Airflow, or equivalents Good habits around governance, security, documentation, Git, and CI/CD You’ll thrive if you’re Curious, motivated, and pragmatic, you care ...

Snowflake, Databricks, or BigQuery. Familiarity with streaming technologies (e.g., Kafka, Spark Streaming, Flink) is an advantage. Experience with orchestration and infrastructure tools such as Airflow, dbt, Prefect, CI/CD pipelines, and Terraform. What you get in return: Up to £60,000 per annum + benefits Hybrid working ...

with a strong focus on ETL/ELT.• Advanced SQL and Python development skills.• Hands-on experience with DBT, GIT, Terraform, Docker, IAM, and Airflow (Composer).• Proven experience working on cloud platforms – ideally GCP (BigQuery), but Azure or AWS also considered.• Strong understanding of Data Mesh, Test Driven ...

Oracle, SQL Server, PostgreSQL, MySQL). Knowledge of data warehouse and lakehouse architectures. Familiarity with ETL/ELT and orchestration tools (e.g., Informatica, Talend, Apache Airflow). Experience establishing and maintaining data governance frameworks. Experience complying with data security requirements. Experience designing data models. Excellent problem-solving, communication ...

EXPERIENCE The successful Lead Data Engineer will have the following skills and experience: Strong Python and SQL skills AWS or GCP Orchestration, ideally with Airflow or Dagsta but open to others Data warehousing - Snowflake, Redshift, BigQuery (NOT Databricks) Terraform or Palumi BENEFITS The successful Lead Data Engineer will receive ...

EXPERIENCE The successful Lead Data Engineer will have the following skills and experience: Strong Python and SQL skills AWS or GCP Orchestration, ideally with Airflow or Dagsta but open to others Data warehousing - Snowflake, Redshift, BigQuery (NOT Databricks) Terraform or Palumi BENEFITS The successful Lead Data Engineer will receive ...

MLflow) Experience with cloud-based ML tools (e.g. SageMaker), data and model versioning (e.g. DVC), CI/CD (e.g. GitHub Actions), workflow orchestration (e.g. Airflow/Dagster) and containerised solutions (e.g. Docker, ECS) nice to have Experience in code testing (unit, integration, end-to-end tests) Strong data engineering ...

data modelling experience e.g. dbt Ideally AWS/GCP background Data warehousing experience - e.g. Snowflake, BigQuery, Redshift IAC e.g. Terraform Orchestration experience e.g. dagster, airflow THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to £120,000 On top of the salary there are some ...

cloud data platforms (AWS, Azure or GCP) Exposure to big data technologies (Hadoop, Spark, Kafka) Familiarity with ETL/orchestration tools (e.g. Informatica, Talend, Airflow) Experience with API integration and microservices data flows Familiarity with AI/ML data pipelines or analytics platforms Experience using UML/SysML Security ...

behavioural data (web, apps, ads, etc.) Awareness of privacy and governance considerations Familiarity with AWS-based data stacks (S3, Spark/EMR, Athena, Airflow, notebooks) How you'll work Hybrid role, Manchester-based 2 days per week in the office, the rest flexible Flexible start and finish times Full ...

behavioural data (web, apps, ads, etc.) Awareness of privacy and governance considerations Familiarity with AWS-based data stacks (S3, Spark/EMR, Athena, Airflow, notebooks) How you'll work Hybrid role, Manchester-based 2 days per week in the office, the rest flexible Flexible start and finish times Full ...

behavioural data (web, apps, ads, etc.) Awareness of privacy and governance considerations Familiarity with AWS-based data stacks (S3, Spark/EMR, Athena, Airflow, notebooks) How you'll work Hybrid role, Manchester-based 2 days per week in the office, the rest flexible Flexible start and finish times Full ...

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

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

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 ...

Azure, or Google Cloud) including data lakes, warehouses, and lakehouse solutions. Transform and process structured and unstructured data using modern ETL/ELT frameworks (Apache Spark, Airflow, dbt). Collaborate closely with product managers, analysts, and software developers to ensure seamless integration and high-quality data availability. Develop ...

Lead Data Engineer: Experience line managing teams of data professionals. Prior experience designing data platform(s) within GCP, working hands on with; Airflow, Big Query, Data Flow, Data Fusion, and Data Stream. Deep understanding of Data Mesh/decentralised design and Data Lake/Warehouse solutions. Hands on skills ...

engineering and product teams to support evolving data requirements Requirements: SQL Server T-SQL DBA Skills Power BI ETL (SSIS or other, such as Airflow) MySQL would be useful but certainly not essential. Apply Now! If you have a range of experience in Data Engineering and you are looking ...

Tech Lead Manager in a data, platform or backend environment A background in data or backend engineering, such as AWS, Python or Scala, Spark, Airflow or similar Experience owning or supporting analytics, data or reporting products Strong people leadership skills including hiring, coaching and performance management A track record ...

Tech Lead Manager in a data, platform or backend environment A background in data or backend engineering, such as AWS, Python or Scala, Spark, Airflow or similar Experience owning or supporting analytics, data or reporting products Strong people leadership skills including hiring, coaching and performance management A track record ...

Azure, or Google Cloud) including data lakes, warehouses, and lakehouse solutions. Transform and process structured and unstructured data using modern ETL/ELT frameworks (Apache Spark, Airflow, dbt). Collaborate closely with product managers, analysts, and software developers to ensure seamless integration and high-quality data availability. Develop ...

engineering and product teams to support evolving data requirements Requirements: SQL Server T-SQL DBA Skills Power BI ETL (SSIS or other, such as Airflow) MySQL would be useful but certainly not essential. Apply Now! If you have a range of experience in Data Engineering and you are looking ...

deliver reliable, high-performance data solutions using Databricks and modern cloud technologies. Key Responsibilities Design, develop, and maintain scalable data pipelines using Databricks, Apache Spark, and Delta Lake Build and optimize ETL/ELT workflows for batch and streaming data Develop data models to support analytics, reporting, and machine … data pipelines, architectures, and best practices Required Qualifications 3+ years of experience in data engineering or a similar role Strong experience with Databricks and Apache Spark Proficiency in Python and SQL Experience with Delta Lake, data modeling, and performance tuning Hands-on experience with cloud platforms (AWS, Azure ...

Data Factory) and modern data warehouse technologies (Databricks, Snowflake) Experience with database technologies such as RDBMS (SQL Server, Oracle) or NoSQL (MongoDB) Knowledge in Apache technologies such as Spark, Kafka and Airflow to build scalable and efficient data pipelines Ability to design, build, and deploy data solutions that ...