426 to 450 of 534 Apache Airflow Jobs in England

how data flows through everything they build. What You’ll Do Build and own data pipelines that connect product, analytics, and operations Design scalable architectures using tools like dbt , Airflow , and Snowflake/BigQuery Work with engineers and product teams to make data easily accessible and actionable Help evolve their data warehouse and ensure high data quality and reliability … ML-ready datasets Influence technical decisions across the stack — they love new ideas What You Bring Hands-on experience in Python and SQL Experience with modern data tools (dbt, Airflow, Prefect, Dagster, etc.) Knowledge of cloud platforms like AWS , GCP , or Azure An understanding of data modelling and ETL best practices Curiosity, creativity, and a mindset that thrives in More ❯

functional team. What we’re looking for 4+ years’ experience in data engineering or analytics engineering roles. Proven hands-on experience with Python , SQL , and modern data stacks ( dbt, Airflow, Databricks, or Dataform ). Solid grasp of data modelling, orchestration, and CI/CD best practices . Experience with Azure or GCP (Databricks, BigQuery, or Data Factory). Strong … . Competitive salary, equity, and benefits. Join a supportive, high-calibre engineering team committed to quality and innovation. 📍 Location: Paddington, London 💻 Tech Stack: Python, SQL, dbt, Databricks, Azure, GCP, Airflow, Terraform, PySpark More ❯

functional team. What we’re looking for 4+ years’ experience in data engineering or analytics engineering roles. Proven hands-on experience with Python , SQL , and modern data stacks ( dbt, Airflow, Databricks, or Dataform ). Solid grasp of data modelling, orchestration, and CI/CD best practices . Experience with Azure or GCP (Databricks, BigQuery, or Data Factory). Strong … . Competitive salary, equity, and benefits. Join a supportive, high-calibre engineering team committed to quality and innovation. 📍 Location: Paddington, London 💻 Tech Stack: Python, SQL, dbt, Databricks, Azure, GCP, Airflow, Terraform, PySpark More ❯

cross-functional team. What were looking for 4+ years experience in data engineering or analytics engineering roles. Proven hands-on experience with Python , SQL , and modern data stacks ( dbt, Airflow, Databricks, or Dataform ). Solid grasp of data modelling, orchestration, and CI/CD best practices . Experience with Azure or GCP (Databricks, BigQuery, or Data Factory). Strong … . Competitive salary, equity, and benefits. Join a supportive, high-calibre engineering team committed to quality and innovation. Location: Paddington, London Tech Stack: Python, SQL, dbt, Databricks, Azure, GCP, Airflow, Terraform, PySpark More ❯

functional team. What we're looking for 4+ years' experience in data engineering or analytics engineering roles. Proven hands-on experience with Python , SQL , and modern data stacks ( dbt, Airflow, Databricks, or Dataform ). Solid grasp of data modelling, orchestration, and CI/CD best practices . Experience with Azure or GCP (Databricks, BigQuery, or Data Factory). Strong … . Competitive salary, equity, and benefits. Join a supportive, high-calibre engineering team committed to quality and innovation. Location: Paddington, London Tech Stack: Python, SQL, dbt, Databricks, Azure, GCP, Airflow, Terraform, PySpark More ❯

cross-functional team. What were looking for 4+ years experience in data engineering or analytics engineering roles. Proven hands-on experience with Python , SQL , and modern data stacks ( dbt, Airflow, Databricks, or Dataform ). Solid grasp of data modelling, orchestration, and CI/CD best practices . Experience with Azure or GCP (Databricks, BigQuery, or Data Factory). Strong … . Competitive salary, equity, and benefits. Join a supportive, high-calibre engineering team committed to quality and innovation. Location: Paddington, London Tech Stack: Python, SQL, dbt, Databricks, Azure, GCP, Airflow, Terraform, PySpark More ❯

functional team. What we’re looking for 4+ years’ experience in data engineering or analytics engineering roles. Proven hands-on experience with Python , SQL , and modern data stacks ( dbt, Airflow, Databricks, or Dataform ). Solid grasp of data modelling, orchestration, and CI/CD best practices . Experience with Azure or GCP (Databricks, BigQuery, or Data Factory). Strong … . Competitive salary, equity, and benefits. Join a supportive, high-calibre engineering team committed to quality and innovation. 📍 Location: Paddington, London 💻 Tech Stack: Python, SQL, dbt, Databricks, Azure, GCP, Airflow, Terraform, PySpark More ❯

to the statistical experimentation engine in a scalable and future-proof manner. What will you bring to the team? Dedication to Data Engineering such as Google Vertex AI pipelines, Airflow/DBT Proficiency in Python for engineering applications Experience with setting up, deploying, and managing cloud infrastructure using Infrastructure as Code (Terraform). Strong application of engineering best practices … across the product development lifecycle, including automated testing, CI/CD, and code reviews. Comfortable working with various technologies across the software and data engineering stack, including Airflow, Vertex AI, Kubernetes, Docker, GitHub Actions, Jenkins, Google Cloudbuild, Prometheus, and Grafana. Solid experience in cloud data storage , with particular expertise in Google BigQuery (GBQ), GCS/S3 Demonstrable ability to More ❯

teams (Data Scientists, Quality, Manufacturing, IT) to define data requirements and deliver reliable data solutions. Develop and maintain ETL/ELT workflows using modern orchestration and integration tools (e.g., Airflow, Fivetran, or similar). Implement data governance, lineage, and documentation best practices. Support business intelligence tools (e.g., Tableau, Power BI) by ensuring data accessibility and consistency. Continuously evaluate emerging … hands-on experience with: Snowflake (architecture, performance tuning, cost optimisation) DBT (model development, testing, documentation, deployment) SQL (advanced query optimisation and debugging) Experience with data integration and orchestration tools (Airflow, Dagster, Prefect, or similar). Familiarity with cloud data platforms (AWS, Azure, or GCP). Contract: Initial 6-month contract Hybrid - 1 day per week on-site in London More ❯

Data Engineer (leading a team of 4). Salary: £100,000 – £130,000 + benefits Location: West London - Hybrid (3 days p/w in-office) Tech: AWS, Snowflake, Airflow, DBT, Python The Company: Immersum have engaged with a leading PropTech company on a mission to revolutionise how the property sector understands people, places, and data. By combining cutting … Implement redundancy, backups, and DB triggers to ensure reliability and data integrity. Work with Python to build scalable data solutions. Introduce and adopt new technologies such as Kafka, Docker, Airflow, and AWS . Define and enforce data hygiene practices (ontology, storage, artifacts, version control). Reduce engineering load per person through automation and efficient design. Collaborate closely with a More ❯

Data Engineer (leading a team of 4). Salary: £100,000 – £130,000 + benefits Location: West London - Hybrid (3 days p/w in-office) Tech: AWS, Snowflake, Airflow, DBT, Python The Company: Immersum have engaged with a leading PropTech company on a mission to revolutionise how the property sector understands people, places, and data. By combining cutting … Implement redundancy, backups, and DB triggers to ensure reliability and data integrity. Work with Python to build scalable data solutions. Introduce and adopt new technologies such as Kafka, Docker, Airflow, and AWS . Define and enforce data hygiene practices (ontology, storage, artifacts, version control). Reduce engineering load per person through automation and efficient design. Collaborate closely with a More ❯

Data Engineer (leading a team of 4). Salary: £100,000 - £130,000 + benefits Location: West London - Hybrid (3 days p/w in-office) Tech: AWS, Snowflake, Airflow, DBT, Python The Company: Immersum have engaged with a leading PropTech company on a mission to revolutionise how the property sector understands people, places, and data. By combining cutting … Implement redundancy, backups, and DB triggers to ensure reliability and data integrity. Work with Python to build scalable data solutions. Introduce and adopt new technologies such as Kafka, Docker, Airflow, and AWS . Define and enforce data hygiene practices (ontology, storage, artifacts, version control). Reduce engineering load per person through automation and efficient design. Collaborate closely with a More ❯

Data Engineer (leading a team of 4). Salary: 100,000 130,000 + benefits Location: West London - Hybrid (3 days p/w in-office) Tech: AWS, Snowflake, Airflow, DBT, Python The Company: Immersum have engaged with a leading PropTech company on a mission to revolutionise how the property sector understands people, places, and data. By combining cutting … Implement redundancy, backups, and DB triggers to ensure reliability and data integrity. Work with Python to build scalable data solutions. Introduce and adopt new technologies such as Kafka, Docker, Airflow, and AWS . Define and enforce data hygiene practices (ontology, storage, artifacts, version control). Reduce engineering load per person through automation and efficient design. Collaborate closely with a More ❯

Data Engineer (leading a team of 4). Salary: £100,000 – £130,000 + benefits Location: West London - Hybrid (3 days p/w in-office) Tech: AWS, Snowflake, Airflow, DBT, Python The Company: Immersum have engaged with a leading PropTech company on a mission to revolutionise how the property sector understands people, places, and data. By combining cutting … Implement redundancy, backups, and DB triggers to ensure reliability and data integrity. Work with Python to build scalable data solutions. Introduce and adopt new technologies such as Kafka, Docker, Airflow, and AWS . Define and enforce data hygiene practices (ontology, storage, artifacts, version control). Reduce engineering load per person through automation and efficient design. Collaborate closely with a More ❯

Data Engineer (leading a team of 4). Salary: 100,000 130,000 + benefits Location: West London - Hybrid (3 days p/w in-office) Tech: AWS, Snowflake, Airflow, DBT, Python The Company: Immersum have engaged with a leading PropTech company on a mission to revolutionise how the property sector understands people, places, and data. By combining cutting … Implement redundancy, backups, and DB triggers to ensure reliability and data integrity. Work with Python to build scalable data solutions. Introduce and adopt new technologies such as Kafka, Docker, Airflow, and AWS . Define and enforce data hygiene practices (ontology, storage, artifacts, version control). Reduce engineering load per person through automation and efficient design. Collaborate closely with a More ❯

management to analyze and improve our business processes Conduct workload and complexity assessments Design, plan and implement new efficient software solutions in Python and Go Maintain and enhance our Airflow data pipelines Improve observability and scalability to support our constantly growing client base Continuously adapt to changing requirements in a business driven environment Build and extend knowledge of financial … innate curiosity to learn new things Preferred qualifications Background in traditional finance or digital assets, ideally in trading domain Hands-on experience with Python libraries and frameworks (NumPy, Pandas, Airflow, FastAPI, Flask, SQLAlchemy) Highly proficient in asynchronous, event driven distributed systems Working knowledge of cloud-native architectures, GCP preferred Experience in Go and working with real-time data streams More ❯

management to analyze and improve our business processes Conduct workload and complexity assessments Design, plan and implement new efficient software solutions in Python and Go Maintain and enhance our Airflow data pipelines Improve observability and scalability to support our constantly growing client base Continuously adapt to changing requirements in a business driven environment Build and extend knowledge of financial … innate curiosity to learn new things Preferred qualifications Background in traditional finance or digital assets, ideally in trading domain Hands-on experience with Python libraries and frameworks (NumPy, Pandas, Airflow, FastAPI, Flask, SQLAlchemy) Highly proficient in asynchronous, event driven distributed systems Working knowledge of cloud-native architectures, GCP preferred Experience in Go and working with real-time data streams More ❯

management to analyze and improve our business processes Conduct workload and complexity assessments Design, plan and implement new efficient software solutions in Python and Go Maintain and enhance our Airflow data pipelines Improve observability and scalability to support our constantly growing client base Continuously adapt to changing requirements in a business driven environment Build and extend knowledge of financial … innate curiosity to learn new things Preferred qualifications Background in traditional finance or digital assets, ideally in trading domain Hands-on experience with Python libraries and frameworks (NumPy, Pandas, Airflow, FastAPI, Flask, SQLAlchemy) Highly proficient in asynchronous, event driven distributed systems Working knowledge of cloud-native architectures, GCP preferred Experience in Go and working with real-time data streams More ❯

management to analyze and improve our business processes Conduct workload and complexity assessments Design, plan and implement new efficient software solutions in Python and Go Maintain and enhance our Airflow data pipelines Improve observability and scalability to support our constantly growing client base Continuously adapt to changing requirements in a business driven environment Build and extend knowledge of financial … innate curiosity to learn new things Preferred qualifications Background in traditional finance or digital assets, ideally in trading domain Hands-on experience with Python libraries and frameworks (NumPy, Pandas, Airflow, FastAPI, Flask, SQLAlchemy) Highly proficient in asynchronous, event driven distributed systems Working knowledge of cloud-native architectures, GCP preferred Experience in Go and working with real-time data streams More ❯

management to analyze and improve our business processes Conduct workload and complexity assessments Design, plan and implement new efficient software solutions in Python and Go Maintain and enhance our Airflow data pipelines Improve observability and scalability to support our constantly growing client base Continuously adapt to changing requirements in a business driven environment Build and extend knowledge of financial … innate curiosity to learn new things Preferred qualifications Background in traditional finance or digital assets, ideally in trading domain Hands-on experience with Python libraries and frameworks (NumPy, Pandas, Airflow, FastAPI, Flask, SQLAlchemy) Highly proficient in asynchronous, event driven distributed systems Working knowledge of cloud-native architectures, GCP preferred Experience in Go and working with real-time data streams More ❯

management to analyze and improve our business processes Conduct workload and complexity assessments Design, plan and implement new efficient software solutions in Python and Go Maintain and enhance our Airflow data pipelines Improve observability and scalability to support our constantly growing client base Continuously adapt to changing requirements in a business driven environment Build and extend knowledge of financial … innate curiosity to learn new things Preferred qualifications Background in traditional finance or digital assets, ideally in trading domain Hands-on experience with Python libraries and frameworks (NumPy, Pandas, Airflow, FastAPI, Flask, SQLAlchemy) Highly proficient in asynchronous, event driven distributed systems Working knowledge of cloud-native architectures, GCP preferred Experience in Go and working with real-time data streams 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 ❯

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 ❯

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 ❯

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 ❯