17 of 17 Remote Apache Airflow Jobs in the South East

a London base (flexibility offered) High-impact role with a growing, values-driven data team Platform-focused, mission-led engineering Work with a modern cloud-native stack (Snowflake, DBT, Airflow, Terraform, AWS) What You'll Be Doing Serve as the technical lead for cross-functional data initiatives Define and champion best practices for building scalable, governed, high-quality data … teams-product managers, analysts, ML engineers, and more What You'll Bring Extensive experience designing and building modern data platforms Strong skills in Python , SQL , and tools like DBT , Airflow , Fivetran Expertise in cloud services (ideally AWS ) and IaC tools like Terraform Deep understanding of data architecture , ELT pipelines, and governance A background in software engineering principles (CI/… technical and non-technical stakeholders A collaborative mindset and passion for coaching others Tech Environment Cloud : AWS (Kinesis, Lambda, S3, ECS, etc.) Data Warehouse : Snowflake Transformation & Orchestration : Python, DBT, Airflow IaC & DevOps : Terraform, GitHub Actions, Jenkins Monitoring & Governance : Monte Carlo, Collate Interested? If you're excited about platform-level ownership, technical influence, and building systems that help people tell More ❯

in the office in average. In this role you will be working within a new, greenfield division of the business, using a brand-new technology stack including Snowflake, dbt, Airflow and AWS. This function provide data for Machine Learning and Artificial Intelligence capabilities, helping them to provide the best possible service offering to their customers. You'll work on … a strong financial backing, and the chance to make a real impact! We're looking for the following experience: Extensive hands-on experience with Snowflake Extensive experience with dbt, Airflow, AWS and Terraform Exellent scripting skills in SQL Experience developing solutions entirely from scratch Great communication skills, with the ability to understand and translate complex requirements into technical solutions More ❯

and analysing A/B tests Strong storytelling and stakeholder-management skills Full UK work authorization Desirable Familiarity with cloud data platforms (Snowflake, Redshift, BigQuery) and ETL tools (dbt, Airflow) Experience with loyalty-programme analytics or CRM platforms Knowledge of machine-learning frameworks (scikit-learn, TensorFlow) for customer scoring Technical Toolbox Data & modeling: SQL, Python/R, pandas, scikit … learn Dashboarding: Tableau or Power BI ETL & warehousing: dbt, Airflow, Snowflake/Redshift/BigQuery Experimentation: A/B testing platforms (Optimizely, VWO More ❯

quality data assets Strong architectural acumen and software engineering fundamentals Experience driving adoption of data governance and improving data platform usage across internal teams stack including: Snowflake AWS DBT Airflow Python Kinesis Terraform CI/CD tools BENEFITS The successful Principal Data Engineer will receive the following benefits: Salary up to £107,000 Hybrid working: 2 days per week More ❯

In this role, you will be responsible for designing, building, and maintaining robust data pipelines and infrastructure on the Azure cloud platform. You will leverage your expertise in PySpark, Apache Spark, and Apache Airflow to process and orchestrate large-scale data workloads, ensuring data quality, efficiency, and scalability. If you have a passion for data engineering and … significant impact, we encourage you to apply! Job Responsibilities ETL/ELT Pipeline Development: Design, develop, and optimize efficient and scalable ETL/ELT pipelines using Python, PySpark, and Apache Airflow. Implement batch and real-time data processing solutions using Apache Spark. Ensure data quality, governance, and security throughout the data lifecycle. Cloud Data Engineering: Manage and optimize … effectiveness. Implement and maintain CI/CD pipelines for data workflows to ensure smooth and reliable deployments. Big Data & Analytics: Develop and optimize large-scale data processing pipelines using Apache Spark and PySpark. Implement data partitioning, caching, and performance tuning techniques to enhance Spark-based workloads. Work with diverse data formats (structured and unstructured) to support advanced analytics and More ❯

In this role, you will be responsible for designing, building, and maintaining robust data pipelines and infrastructure on the Azure cloud platform. You will leverage your expertise in PySpark, Apache Spark, and Apache Airflow to process and orchestrate large-scale data workloads, ensuring data quality, efficiency, and scalability. If you have a passion for data engineering and … desire to make a significant impact, we encourage you to apply! Job Responsibilities Data Engineering & Data Pipeline Development Design, develop, and optimize scalable DATA workflows using Python, PySpark, and Airflow Implement real-time and batch data processing using Spark Enforce best practices for data quality, governance, and security throughout the data lifecycle Ensure data availability, reliability and performance through … data processing workloads Implement CI/CD pipelines for data workflows to ensure smooth and reliable deployments. Big Data & Analytics: Build and optimize large-scale data processing pipelines using Apache Spark and PySpark Implement data partitioning, caching, and performance tuning for Spark-based workloads. Work with diverse data formats (structured and unstructured) to support advanced analytics and machine learning More ❯

Lead Data Engineer £75,000-£85,000 ️ AWS, Python, SQL, Airflow Brighton, hybrid working Analyse customer behaviour using AI & ML We are partnered with a private equity backed company who provide an AI-powered, guided selling platform that helps businesses improve online sales and customer experience. They are looking for a Lead Data Engineer to lead a small team … experience in a Senior Data Engineering role. Comfortable owning and delivering technical projects end-to-end. Strong in Python, SQL, and cloud platforms (AWS or comparable). Experience with Airflow, Snowflake, Docker (or similar). Familiarity with coaching and mentoring more junior engineers, leading 1-1s and check ins. Wider tech stack : AWS, Python, Airflow, Fivetran, Snowflake … Enhanced parental leave and pay If you are interested in finding out more, please apply or contact me directly! Lead Data Engineer £75,000-£85,000 ️ AWS, Python, SQL, Airflow Brighton, hybrid working Analyse customer behaviour using AI & ML Burns Sheehan Ltd will consider applications based only on skills and ability and will not discriminate on any grounds. More ❯

ll be involved in designing and building production-grade ETL pipelines, driving DevOps practices across data systems and contributing to high-availability architectures using tools like Databricks, Spark and Airflow- all within a modern AWS ecosystem. Responsibilities Architect and build scalable, secure data pipelines using AWS, Databricks and PySpark. Design and implement robust ETL/ELT solutions for both … structured and unstructured data. Automate workflows and orchestrate jobs using Airflow and GitHub Actions. Integrate data with third-party APIs to support real-time marketing insights. Collaborate closely with cross-functional teams including Data Science, Software Engineering and Product. Champion best practices in data governance, observability and compliance. Contribute to CI/CD pipeline development and infrastructure automation (Terraform More ❯

within ambitious software businesses. Specifically, you can expect to be involved in the following: Designing and developing full-stack data pipelines and platforms using modern tools such as dbt, Airflow, and cloud infrastructure Cleansing, enriching and modelling data to generate commercial insights and power C-level dashboards Delivering scalable solutions that support internal use cases and extend directly to … sales) and building tools that serve business needs Background in startups or scale-ups with high adaptability and a hands-on approach Experience with modern data tools (e.g. dbt, Airflow, CI/CD) and at least one cloud platform (AWS, GCP, Azure) Strong communication skills and a track record of credibility in high-pressure or client-facing settings BENEFITS More ❯

engineers Collaborate across engineering, data science, and product teams to deliver business impact Skills & Experience: Expert in SQL , dbt , and cloud data warehouses (e.g., BigQuery, Redshift) Strong experience with Airflow , Python , and multi-cloud environments (AWS/GCP) Proven background in designing and scaling analytics solutions in agile environments Proven experience as an Analytics Engineer Nice to Have: Experience More ❯

hands-on background in data engineering, with 5+ years working on modern data platforms Experience leading cloud data migrations- GCP and BigQuery strongly preferred Proficiency in SQL, Python, dbt, Airflow, Terraform and other modern tooling Excellent understanding of data architecture, governance, and DevOps best practices Proven leadership or team management experience within a regulated or mid-to-large tech More ❯

best practices in testing, data governance, and observability. Lead roadmap planning and explore emerging technologies (e.g. GenAI). Ensure operational stability and support incident resolution. Tech Stack Python , SQL , Airflow , AWS , Fivetran , Snowflake , Looker , Docker (You don't need to tick every box - if you've worked with comparable tools, that's great too.) What We're Looking For More ❯

and familiarity with Git Strong communicator, eager to learn, and naturally curious Comfortable working across multiple business areas with varied responsibilities Nice-to-Haves Exposure to tools like Prefect , Airflow , or Dagster Familiarity with Azure SQL , Snowflake , or dbt Tech Stack/Tools Python SQL (on-prem + Azure SQL Data Warehouse) Git Benefits £35,000 - £40,000 starting More ❯

contexts. Bonus Experience (Nice to Have) Exposure to large language models (LLMs) or foundational model adaptation. Previous work in cybersecurity, anomaly detection, or behavioural analytics. Familiarity with orchestration frameworks (Airflow or similar). Experience with scalable ML systems, pipelines, or real-time data processing. Advanced degree or equivalent experience in ML/AI research or applied science. Cloud platform More ❯

with new methodologies to enhance the user experience. Key skills: ** Senior Data Scientist experience ** Commercial experience in Generative AI and recommender systems ** Strong Python and SQL experience ** Spark/Apache Airflow ** LLM experience ** MLOps experience ** AWS Additional information: This role offers a strong salary of up to £95,000 (Depending on experience/skill) with hybrid working More ❯

e.g., Archimate), and cloud platforms (AWS, Azure) Hands-on experience with DevSecOps tooling, automation platforms (Power Platform, UiPath), and secure software development practices Familiarity with data integration pipelines (Kafka, Apache Airflow), API management, and scripting (Python) Strong understanding of software design patterns including microservices, cloud-native, and OO design Eligible and willing to undergo high-level security clearance More ❯

to our bespoke data pipeline and associated API services. Key Requirements 5+ years of Python experience with frameworks like Flask, FastAPI, and Django. Strong command orchestration tools (e.g. Prefect, Airflow), Docker, and AWS infrastructure (CDK, Terraform). Solid understanding of API services, authentication methods (JWT, SSO), and clear, pragmatic communication skills. Maintain, upgrade, and improve existing systems and custom More ❯