12 of 12 Remote Apache Airflow Jobs in the Thames Valley

containerisation (Docker, Kubernetes), and modern DevOps practices. Exposure to regulatory reporting, compliance systems, or financial services technology. Experience with big data tools and the modern data stack (e.g., dbt, Airflow, Kafka). Knowledge of security best practices and data governance. Benefits: Private Medical Insurance (AXA) – includes mental health, dental, vision, and private GP access Employee Assistance Program Enhanced parental More ❯

of ETL/ELT processes and database fundamentals. A motivated, proactive mindset with a strong desire to learn and grow. Nice to Have: Exposure to data pipeline tools (e.g. Apache Airflow, dbt). Experience with containerisation tools like Docker. Familiarity with version control and CI/CD practices. Knowledge of BI tools (Looker, Tableau, or similar). If More ❯

skills with the ability to interact effectively with both technical and trading stakeholders. Desirable: Previous front-office or systematic trading desk experience. Familiarity with modern MLOps (Docker, Kubernetes, MLflow, Airflow) and distributed computing (Spark, Ray). Experience with alpha signal generation, regime detection, or portfolio optimization. Exposure to alternative/ESG datasets, macroeconomic indicators, and sentiment analysis. More ❯

or GCP native stacks) Experience with platform observability and CI/CD for data platforms Hands-on experience with modern data engineering tools such as dbt, Fivetran, Matillion or Airflow History of supporting pre-sales activities in a product or consultancy-based business What Kubrick offers: A fast moving and fast growth business which is doing something seriously innovative 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 ❯

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 ❯

PyTorch). Solid knowledge of SQL and data warehousing concepts. Demonstrated experience with cloud platforms ( GCP & Azure preferred). Strong understanding of data modelling, transformation, and orchestration (e.g. dbt, Airflow, Azure Data Factory). Familiarity with digital marketing data flows (e.g. GA4, ad servers, programmatic platforms, CRMs). Proven ability to manage or mentor junior team members, providing technical More ❯

Proven experience in developing and deploying machine learning models in production. Solid understanding of data structures, algorithms, and software engineering principles. Experience with ML pipelines and orchestration tools (e.g., Airflow, Kubeflow, MLflow). Proficiency in working with cloud services (AWS, GCP, or Azure). Strong understanding of CI/CD, containerisation (Docker), and orchestration (Kubernetes). Excellent problem-solving More ❯

critical client outcomes. Analytics Engineering Leaders: Architect and optimise data pipelines, ELT workflows, and cloud warehouse platforms (Snowflake, BigQuery, Redshift). Lead teams working with dbt, SQL, Python, and Airflow to drive data transformation at scale. Ensure data governance, quality, and modelling standards are upheld across solutions. Work closely with data scientists and stakeholders to turn clean data into … engineering. Have led engineering teams and mentored technical talent in high-performance environments. Are proficient in either modern software stacks (Python, React, cloud-native) or analytics tooling (SQL, dbt, Airflow, cloud warehouses) . Bring a strategic mindset , with the ability to connect technical execution to business value. Are committed to innovation, collaboration, and data-driven transformation. Meet eligibility requirements More ❯

Job Title: Data Engineer Job Type: Full Time, Permanent Working location: London, Hybrid (3 office days a week) Role Purpose At Travelex we are developing modern data services, which will be at the heart of our relationship with our customers. More ❯

Location: London – Hybrid (2-3 days/week onsite, plus client visits). Salary: From £90,000 + bonus, negotiable. Term: Permanent/Full-time (flexible working arrangements). About the Company Our client is a next-generation Data & AI More ❯