126 to 150 of 372 Apache Airflow Jobs in the UK

stakeholders What You Bring 3–5+ years of experience in software engineering (Python) Experience with fastAPI, cloud platforms (AWS, Azure, or GCP), Docker. Bonus: experience with ML workflows, Spark, Airflow, or trading systems Why Join Up to £140K Up to 100% bonus Relocation package Flat, entrepreneurial team structure More ❯

stakeholders What You Bring 3–5+ years of experience in software engineering (Python) Experience with fastAPI, cloud platforms (AWS, Azure, or GCP), Docker. Bonus: experience with ML workflows, Spark, Airflow, or trading systems Why Join Up to £140K Up to 100% bonus Relocation package Flat, entrepreneurial team structure More ❯

in data engineering – Python, SQL, and cloud platforms (GCP or Azure). Experience designing or managing data pipelines and ETL processes . Exposure to orchestration tools such as dbt , Airflow , or Azure Data Factory . Good understanding of data architecture and automation . AdTech or MarTech experience would be a real plus. Confident mentoring and developing junior engineers/ More ❯

in data engineering – Python, SQL, and cloud platforms (GCP or Azure). Experience designing or managing data pipelines and ETL processes . Exposure to orchestration tools such as dbt , Airflow , or Azure Data Factory . Good understanding of data architecture and automation . AdTech or MarTech experience would be a real plus. Confident mentoring and developing junior engineers/ More ❯

Azure DevOps. Core Skills Cloud Expertise: Azure, AWS, SAP Data Engineering: ELT/ETL, Data Modeling, Data Warehousing Tools & Tech: Azure Data Factory, Databricks, Synapse, Stream Analytics, AWS Glue, Airflow, Kinesis, Redshift, SQL, GitHub, Azure DevOps, SonarQube, PyTest Preferred Experience Leading agile or scrum-based technical teams. Working with financial or planning data. Using documentation tools (e.g., MKDocs ). More ❯

Azure DevOps. Core Skills Cloud Expertise: Azure, AWS, SAP Data Engineering: ELT/ETL, Data Modeling, Data Warehousing Tools & Tech: Azure Data Factory, Databricks, Synapse, Stream Analytics, AWS Glue, Airflow, Kinesis, Redshift, SQL, GitHub, Azure DevOps, SonarQube, PyTest Preferred Experience Leading agile or scrum-based technical teams. Working with financial or planning data. Using documentation tools (e.g., MKDocs ). More ❯

in data engineering – Python, SQL, and cloud platforms (GCP or Azure). Experience designing or managing data pipelines and ETL processes . Exposure to orchestration tools such as dbt , Airflow , or Azure Data Factory . Good understanding of data architecture and automation . AdTech or MarTech experience would be a real plus. Confident mentoring and developing junior engineers/ More ❯

hands-on with AWS, Azure, or GCP, working in a collaborative environment that values innovation, quality, and teamwork. 💡 What you’ll bring: Solid experience with Python, SQL, Spark, and Airflow Confident working across AWS, Azure, or GCP Great communication skills — able to work with both tech and business teams Comfortable in a consultancy environment Experience in the gambling/ More ❯

in data engineering – Python, SQL, and cloud platforms (GCP or Azure). Experience designing or managing data pipelines and ETL processes . Exposure to orchestration tools such as dbt , Airflow , or Azure Data Factory . Good understanding of data architecture and automation . AdTech or MarTech experience would be a real plus. Confident mentoring and developing junior engineers/ More ❯

hands-on with AWS, Azure, or GCP, working in a collaborative environment that values innovation, quality, and teamwork. 💡 What you’ll bring: Solid experience with Python, SQL, Spark, and Airflow Confident working across AWS, Azure, or GCP Great communication skills — able to work with both tech and business teams Comfortable in a consultancy environment Experience in the gambling/ More ❯

hands-on with AWS, Azure, or GCP, working in a collaborative environment that values innovation, quality, and teamwork. 💡 What you’ll bring: Solid experience with Python, SQL, Spark, and Airflow Confident working across AWS, Azure, or GCP Great communication skills — able to work with both tech and business teams Comfortable in a consultancy environment Experience in the gambling/ More ❯

hands-on with AWS, Azure, or GCP, working in a collaborative environment that values innovation, quality, and teamwork. 💡 What you’ll bring: Solid experience with Python, SQL, Spark, and Airflow Confident working across AWS, Azure, or GCP Great communication skills — able to work with both tech and business teams Comfortable in a consultancy environment Experience in the gambling/ More ❯

hands-on with AWS, Azure, or GCP, working in a collaborative environment that values innovation, quality, and teamwork. 💡 What you’ll bring: Solid experience with Python, SQL, Spark, and Airflow Confident working across AWS, Azure, or GCP Great communication skills — able to work with both tech and business teams Comfortable in a consultancy environment Experience in the gambling/ More ❯

background at a leading finance or big tech firm Strong hands-on expertise in Python and modern ETL frameworks Experience designing and maintaining cloud-based data pipelines (e.g. AWS, Airflow, Snowflake) Deep understanding of data modelling, validation, and pipeline resilience Familiarity with financial or alternative datasets preferred More ❯

background at a leading finance or big tech firm Strong hands-on expertise in Python and modern ETL frameworks Experience designing and maintaining cloud-based data pipelines (e.g. AWS, Airflow, Snowflake) Deep understanding of data modelling, validation, and pipeline resilience Familiarity with financial or alternative datasets preferred More ❯

background at a leading finance or big tech firm Strong hands-on expertise in Python and modern ETL frameworks Experience designing and maintaining cloud-based data pipelines (e.g. AWS, Airflow, Snowflake) Deep understanding of data modelling, validation, and pipeline resilience Familiarity with financial or alternative datasets preferred More ❯

background at a leading finance or big tech firm Strong hands-on expertise in Python and modern ETL frameworks Experience designing and maintaining cloud-based data pipelines (e.g. AWS, Airflow, Snowflake) Deep understanding of data modelling, validation, and pipeline resilience Familiarity with financial or alternative datasets preferred More ❯

background at a leading finance or big tech firm Strong hands-on expertise in Python and modern ETL frameworks Experience designing and maintaining cloud-based data pipelines (e.g. AWS, Airflow, Snowflake) Deep understanding of data modelling, validation, and pipeline resilience Familiarity with financial or alternative datasets preferred 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 ❯

GitLab) Cloud platforms like GCP (BigQuery, Kubernetes, Firestore) Infrastructure configuration (e.g., Terraform) Messaging services (Kafka, Pub/Sub) NoSQL databases (MongoDB, Firestore) Advanced SQL querying (BigQuery, Snowflake) Orchestration tools (Airflow, Luigi, Cloud Compose) A proactive, independent mindset with strong attention to detail. A passion for learning, problem-solving, and improving data infrastructure standards. A degree in a scientific or More ❯

years in data science or analytics, including ETL experience from GA4/Google Ads and CRM platforms. Advanced SQL & Python skills. Experience with dbt (or equivalent) and orchestration tools (Airflow/Cloud Composer). Proven experience using LLMs (OpenAI, Gemini, Claude, etc.) for analytics and automation. Strong background in data visualisation (Power BI/Looker/Looker Studio). 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 ❯

Strong Python skills and comfort working across complex ingestion workflows Experience managing NoSQL and vector databases at scale (MongoDB, Weaviate, Pinecone, etc.) Solid understanding of modern data pipeline tools (Airflow, Prefect, Dagster) Practical experience with LLM development, embeddings, and RAG architectures Familiarity with distributed systems and cloud platforms (AWS, GCP, or Azure) Self-motivated and capable of independently delivering More ❯