10 of 10 Permanent Apache Airflow Jobs in the Midlands

of the programming languages like Python, C++[2] , Java ● Experience with version control and code review tools such as Git ● Knowledge of latest data pipeline orchestration tools such as Airflow ● Experience with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code tools (e.g., Docker, Terraform, CloudFormation). ● Familiarity with data quality, data governance, and observability tools (e.g., Great More ❯

data warehousing, and big data (Hadoop, Spark). Proficient in Python, Java, or Scala with solid OOP and design pattern understanding. Expertise in ETL tools, DevOps and orchestration frameworks (Airflow, Apache NiFi). Hands-on experience with cloud platforms (AWS, Azure, or GCP) and their data services. More ❯

data models. Production experience with Snowflake – beneficial Proven background designing and delivering ETL pipelines. Experience developing or contributing to data Proof of Concepts. Familiarity with orchestration tools such as Airflow or Matillion - desirable. Comfortable working in an agile environment. If you are an experienced Senior Data Engineer with the required background, please respond to this ad in the first More ❯

pipelines. Work within an Azure-based environment (preferred). Provide input into best practices across the data function and help "keep the lights on." Tech Stack Core: Python, SQL, Airflow, dbt, Terraform, CI/CD, Power BI Nice to have: Kimball methodology Cloud: Azure (preferred) What They're Looking For 2-4 years' experience in a Data Engineering role. More ❯

experience in a commercial environment, working on AI/ML applications Multi cloud exposure (Azure/AWS/GCP) . Some of the following - Pytorch, GPT/BERT, RAG, Apache Airflow, Power Automate, Azure logic apps, RPA/Zapier, HuggingFace, LangChain... Background in Data Science or Software Engineering The values and ethos of this business Innovation with real More ❯

to work with project managers to produce technical specifications. Strong interpersonal skills with the ability to work effectively with a wide range of stakeholders. Understanding of Git. Experience using Airflow or similar. Benefits and Working Arrangements: 5% of annual salary in share options in line with the Company Policy at the end of a successfully passed six-month probationary More ❯

teams (7–10 people ideally), with a strong track record of coaching and delivery. 5+ years of professional software engineering in Python , including production workflow tools such as Langflow , Airflow , Prefect , or n8n . Deep understanding of CI/CD, distributed systems, and API integration (OAuth, retries, rate limits). Experience integrating AI/LLM APIs into production systems More ❯

and strengthen the organisation’s data engineering and analytics capability within its AWS-based environment. We’re ideally looking for someone with strong hands-on experience across AWS services, Airflow, Python, and SQL. You’ll play a key role in designing, building, and maintaining modern data infrastructure that powers insight-led decision-making across the business. Working within a … and key stakeholders to deliver practical, scalable solutions that make a real impact. Key Responsibilities Design, build, and maintain robust, scalable ETL/ELT pipelines using tools such as Airflow and AWS services (S3, Redshift, Glue, Lambda, Athena). Integrate new data sources and continuously optimise performance and cost efficiency. Ensure data quality, integrity, and security across all systems. … with new tools and trends in data engineering, particularly within the AWS ecosystem. Skills & Experience Strong hands-on experience with AWS (S3, Redshift, Glue, Lambda, Athena). Skilled in Airflow for workflow orchestration. Advanced SQL and proficient in Python for data engineering. Experience with data modelling (e.g. dimensional) and familiarity with NoSQL databases (e.g. Elasticsearch). Confident using Git More ❯

be doing: Managing and maintaining a Python-based data warehouse , ensuring reliable data ingestion and transformation. Developing and monitoring data pipelines using Meltano and orchestration tools like Dagster or Airflow . Designing and optimising SQL transformations (DBT experience a plus). Working within Azure cloud infrastructure following Infrastructure-as-Code (IaC) principles. Managing Power BI semantic models , DAX measures … data stack for ETL/ELT processes and data warehousing. Strong SQL and Python skills, with an understanding of Kimball-style data modelling . Experience with DBT, Dagster, or Airflow for transformation and orchestration. Hands-on experience with Azure (preferred), or other cloud environments (GCP/AWS). Familiarity with Git-based version control , CI/CD, and DevOps More ❯

contributing to how data is used to drive commercial decisions - particularly around pricing, revenue, and customer insight. Key responsibilities include: Manage and maintain the company's data warehouse (Python, Airflow, DBT, Kimball) Ensure data pipelines are robust, accurate, and performant Maintain and develop cloud infrastructure using Infrastructure as Code (Terraform) Identify opportunities to improve data processes, architecture, and efficiency … and data during the ongoing merger YOUR SKILLS AND EXPERIENCE: A successful Data Engineer will bring: Strong SQL and Python skills Experience managing or building data warehouses Familiarity with Airflow and modern data engineering workflows Interest in cloud infrastructure and IaC principles Proactive mindset - not just maintaining systems, but improving them THE BENEFITS: You will receive a salary of More ❯