451 to 475 of 534 Apache Airflow Jobs in England

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 ❯

Senior Data Engineer - FinTech Unicorn - Python, SQL, DBT, Airflow, AWS/GCP OB have partnered with a UK FinTech Unicorn, who's Data function is undergoing rapid growth, and in-turn are looking to grow their Data team, with 2 highly skilled Data Engineers. You'll be working on shaping the companies Data function, driving Data best practices, and … collaborate with a variety of stakeholders to ensure the company are making Data driven decisions. Senior Data Engineer - FinTech Unicorn - Python, SQL, DBT, Airflow, AWS/GCP Tech Stack: Python & SQL DBT, AirFlow & BigQuery AWS/GCP ETL Pipelines Base salary of £90k-£115k depending on skills and experience Excellent overall package including a sizeable bonus and stock … working in Central London with 1-2 days a week required You must be UK based, and sadly sponsorship is unavailable Senior Data Engineer - FinTech Unicorn - Python, SQL, DBT, Airflow, AWS/GCP More ❯

Senior Data Engineer - FinTech Unicorn - Python, SQL, DBT, Airflow, AWS/GCP OB have partnered with a UK FinTech Unicorn, who's Data function is undergoing rapid growth, and in-turn are looking to grow their Data team, with 2 highly skilled Data Engineers. You'll be working on shaping the companies Data function, driving Data best practices, and … collaborate with a variety of stakeholders to ensure the company are making Data driven decisions. Senior Data Engineer - FinTech Unicorn - Python, SQL, DBT, Airflow, AWS/GCP Tech Stack: Python & SQL DBT, AirFlow & BigQuery AWS/GCP ETL Pipelines Base salary of £90k-£115k depending on skills and experience Excellent overall package including a sizeable bonus and stock … working in Central London with 1-2 days a week required You must be UK based, and sadly sponsorship is unavailable Senior Data Engineer - FinTech Unicorn - Python, SQL, DBT, Airflow, AWS/GCP More ❯

Senior Data Engineer - FinTech Unicorn - Python, SQL, DBT, Airflow, AWS/GCP OB have partnered with a UK FinTech Unicorn, who's Data function is undergoing rapid growth, and in-turn are looking to grow their Data team, with 2 highly skilled Data Engineers. You'll be working on shaping the companies Data function, driving Data best practices, and … collaborate with a variety of stakeholders to ensure the company are making Data driven decisions. Senior Data Engineer - FinTech Unicorn - Python, SQL, DBT, Airflow, AWS/GCP Tech Stack: Python & SQL DBT, AirFlow & BigQuery AWS/GCP ETL Pipelines Base salary of £90k-£115k depending on skills and experience Excellent overall package including a sizeable bonus and stock … working in Central London with 1-2 days a week required You must be UK based, and sadly sponsorship is unavailable Senior Data Engineer - FinTech Unicorn - Python, SQL, DBT, Airflow, AWS/GCP More ❯

Senior Data Engineer - FinTech Unicorn - Python, SQL, DBT, Airflow, AWS/GCP OB have partnered with a UK FinTech Unicorn, who's Data function is undergoing rapid growth, and in-turn are looking to grow their Data team, with 2 highly skilled Data Engineers. You'll be working on shaping the companies Data function, driving Data best practices, and … collaborate with a variety of stakeholders to ensure the company are making Data driven decisions. Senior Data Engineer - FinTech Unicorn - Python, SQL, DBT, Airflow, AWS/GCP Tech Stack: Python & SQL DBT, AirFlow & BigQuery AWS/GCP ETL Pipelines Base salary of £90k-£115k depending on skills and experience Excellent overall package including a sizeable bonus and stock … working in Central London with 1-2 days a week required You must be UK based, and sadly sponsorship is unavailable Senior Data Engineer - FinTech Unicorn - Python, SQL, DBT, Airflow, AWS/GCP More ❯

Lead Data Engineer - Python, SQL, DBT, Airflow, BigQuery, AWS/GCP OB are partnered with a UK FinTech Unicorn, undergoing huge growth within their Data function, and are therefore looking for a Lead Data Engineer to join their Data team. This is a key role, where you'll be leading a team of up to 6 engineers, helping set … the technical direction, collaborating with a variety of stakeholders across the business, working on several exciting greenfield projects and scaling their data systems. Lead Data Engineer - Python, SQL, DBT, Airflow, BigQuery, AWS/GCP Key skills and experience: 2+ years of experience in a Leadership role Python/SQL DBT, BigQuery, Airflow AWS/GCP, Terraform Data warehousing … ETL Hybrid working with offices based in Central London Base salary of £120k-£140k + Bonus up to 15% and stock options Lead Data Engineer - Python, SQL, DBT, Airflow, BigQuery, AWS/GCP More ❯

Lead Data Engineer - Python, SQL, DBT, Airflow, BigQuery, AWS/GCP OB are partnered with a UK FinTech Unicorn, undergoing huge growth within their Data function, and are therefore looking for a Lead Data Engineer to join their Data team. This is a key role, where you'll be leading a team of up to 6 engineers, helping set … the technical direction, collaborating with a variety of stakeholders across the business, working on several exciting greenfield projects and scaling their data systems. Lead Data Engineer - Python, SQL, DBT, Airflow, BigQuery, AWS/GCP Key skills and experience: 2+ years of experience in a Leadership role Python/SQL DBT, BigQuery, Airflow AWS/GCP, Terraform Data warehousing … ETL Hybrid working with offices based in Central London Base salary of £120k-£140k + Bonus up to 15% and stock options Lead Data Engineer - Python, SQL, DBT, Airflow, BigQuery, AWS/GCP More ❯

Lead Data Engineer - Python, SQL, DBT, Airflow, BigQuery, AWS/GCP OB are partnered with a UK FinTech Unicorn, undergoing huge growth within their Data function, and are therefore looking for a Lead Data Engineer to join their Data team. This is a key role, where you'll be leading a team of up to 6 engineers, helping set … the technical direction, collaborating with a variety of stakeholders across the business, working on several exciting greenfield projects and scaling their data systems. Lead Data Engineer - Python, SQL, DBT, Airflow, BigQuery, AWS/GCP Key skills and experience: 2+ years of experience in a Leadership role Python/SQL DBT, BigQuery, Airflow AWS/GCP, Terraform Data warehousing … ETL Hybrid working with offices based in Central London Base salary of £120k-£140k + Bonus up to 15% and stock options Lead Data Engineer - Python, SQL, DBT, Airflow, BigQuery, AWS/GCP More ❯

Senior Data Engineer - Python, SQL, Airflow, Redshift, Snowflake I've partnered with a high-growth start-up looking to expand their Data function, by bringing on a Senior Data Engineer on a contract basis - more info below: Senior Data Engineer: Tech stack - Python, SQL, ETL Pipelines, Airflow, BigQuery, Redshift, Snowflake, AWS/GCP Experience with event-stream and … Modelling Hybrid working in Central London - Monday in the office is essential Pays £450-£500 p/d Outside IR35 3-month initial engagement Senior Data Engineer - Python, SQL, Airflow, Redshift, Snowflake More ❯

Senior Data Engineer - Python, SQL, Airflow, Redshift, Snowflake I've partnered with a high-growth start-up looking to expand their Data function, by bringing on a Senior Data Engineer on a contract basis - more info below: Senior Data Engineer: Tech stack - Python, SQL, ETL Pipelines, Airflow, BigQuery, Redshift, Snowflake, AWS/GCP Experience with event-stream and … Modelling Hybrid working in Central London - Monday in the office is essential Pays £450-£500 p/d Outside IR35 3-month initial engagement Senior Data Engineer - Python, SQL, Airflow, Redshift, Snowflake More ❯

Senior Data Engineer - Python, SQL, Airflow, Redshift, Snowflake I've partnered with a high-growth start-up looking to expand their Data function, by bringing on a Senior Data Engineer on a contract basis - more info below: Senior Data Engineer: Tech stack - Python, SQL, ETL Pipelines, Airflow, BigQuery, Redshift, Snowflake, AWS/GCP Experience with event-stream and … Modelling Hybrid working in Central London - Monday in the office is essential Pays £450-£500 p/d Outside IR35 3-month initial engagement Senior Data Engineer - Python, SQL, Airflow, Redshift, Snowflake More ❯

Senior Data Engineer Tech Stack: Snowflake/DBT/Fivetran/Atlan/Airflow/Python Salary: £70,000 - £75,000 + 15% Bonus + 10% Pension Location: Milton Keynes - 1 day per month onsite This is a fantastic opportunity for a Senior Data Engineer to join a growing data function within a rapidly expanding financial services organisation. The … junior team members. The organisation is investing heavily in Snowflake, building an enterprise-wide Snowflake platform from the ground up. You'll be working with modern tools including DBT, Airflow, Atlan, Fivetran, and Tableau Cloud. With several AI use cases already identified, the team has started exploring Snowflake Cortex. With a strong commitment to becoming a data-centric organisation … a purpose-driven environment that values innovation, people, and progress. Experience Required: Proven experience in Data Engineering Must have hands-on experience with Snowflake Proficiency with DBT, Fivetran, Atlan, Airflow, and Python Desirable (but not essential): Experience in the financial services sector Familiarity with Tableau Cloud Exposure to Snowflake Cortex If you're interested and have most of the More ❯

Senior Data Engineer Tech Stack: Snowflake/DBT/Fivetran/Atlan/Airflow/Python Salary: 70,000 - 75,000 + 15% Bonus + 10% Pension Location: Milton Keynes - 1 day per month onsite This is a fantastic opportunity for a Senior Data Engineer to join a growing data function within a rapidly expanding financial services organisation. The … junior team members. The organisation is investing heavily in Snowflake, building an enterprise-wide Snowflake platform from the ground up. You'll be working with modern tools including DBT, Airflow, Atlan, Fivetran, and Tableau Cloud. With several AI use cases already identified, the team has started exploring Snowflake Cortex. With a strong commitment to becoming a data-centric organisation … a purpose-driven environment that values innovation, people, and progress. Experience Required: Proven experience in Data Engineering Must have hands-on experience with Snowflake Proficiency with DBT, Fivetran, Atlan, Airflow, and Python Desirable (but not essential): Experience in the financial services sector Familiarity with Tableau Cloud Exposure to Snowflake Cortex If you're interested and have most of the More ❯

AI models are learning, and improving, in production. What Youll Be Doing Architect and maintain real-time streaming data systems (Kafka, Kinesis, or Flink) Build robust feature pipelines using Airflow, Prefect, or Dagster Manage and optimise data storage solutions (Snowflake, BigQuery, Redshift, or Delta Lake) Automate and scale model training pipelines in close partnership with ML engineers Deploy, observe … performance across the platform The Tech Environment Youll likely be working with some combination of: Languages: Python, Scala, Go Streaming: Kafka/Flink/Spark Structured Streaming Workflow orchestration: Airflow/Prefect/Dagster Data storage & processing: Snowflake/Detabricks/BigQuery/Redshift Infrastructure: Docker/Kubernetes/Terraform/dbt Monitoring: Prometheus/Grafana/OpenTelemetry Cloud More ❯

AI models are learning, and improving, in production. What Youll Be Doing Architect and maintain real-time streaming data systems (Kafka, Kinesis, or Flink) Build robust feature pipelines using Airflow, Prefect, or Dagster Manage and optimise data storage solutions (Snowflake, BigQuery, Redshift, or Delta Lake) Automate and scale model training pipelines in close partnership with ML engineers Deploy, observe … performance across the platform The Tech Environment Youll likely be working with some combination of: Languages: Python, Scala, Go Streaming: Kafka/Flink/Spark Structured Streaming Workflow orchestration: Airflow/Prefect/Dagster Data storage & processing: Snowflake/Detabricks/BigQuery/Redshift Infrastructure: Docker/Kubernetes/Terraform/dbt Monitoring: Prometheus/Grafana/OpenTelemetry Cloud More ❯

models are learning, and improving, in production. 🧠 What You’ll Be Doing Architect and maintain real-time streaming data systems (Kafka, Kinesis, or Flink) Build robust feature pipelines using Airflow, Prefect, or Dagster Manage and optimise data storage solutions (Snowflake, BigQuery, Redshift, or Delta Lake) Automate and scale model training pipelines in close partnership with ML engineers Deploy, observe … across the platform 🧩 The Tech Environment You’ll likely be working with some combination of: Languages: Python, Scala, Go Streaming: Kafka/Flink/Spark Structured Streaming Workflow orchestration: Airflow/Prefect/Dagster Data storage & processing: Snowflake/Detabricks/BigQuery/Redshift Infrastructure: Docker/Kubernetes/Terraform/dbt Monitoring: Prometheus/Grafana/OpenTelemetry Cloud More ❯

models are learning, and improving, in production. 🧠 What You’ll Be Doing Architect and maintain real-time streaming data systems (Kafka, Kinesis, or Flink) Build robust feature pipelines using Airflow, Prefect, or Dagster Manage and optimise data storage solutions (Snowflake, BigQuery, Redshift, or Delta Lake) Automate and scale model training pipelines in close partnership with ML engineers Deploy, observe … across the platform 🧩 The Tech Environment You’ll likely be working with some combination of: Languages: Python, Scala, Go Streaming: Kafka/Flink/Spark Structured Streaming Workflow orchestration: Airflow/Prefect/Dagster Data storage & processing: Snowflake/Detabricks/BigQuery/Redshift Infrastructure: Docker/Kubernetes/Terraform/dbt Monitoring: Prometheus/Grafana/OpenTelemetry Cloud More ❯

models are learning, and improving, in production. What You'll Be Doing Architect and maintain real-time streaming data systems (Kafka, Kinesis, or Flink) Build robust feature pipelines using Airflow, Prefect, or Dagster Manage and optimise data storage solutions (Snowflake, BigQuery, Redshift, or Delta Lake) Automate and scale model training pipelines in close partnership with ML engineers Deploy, observe … across the platform The Tech Environment You'll likely be working with some combination of: Languages: Python, Scala, Go Streaming: Kafka/Flink/Spark Structured Streaming Workflow orchestration: Airflow/Prefect/Dagster Data storage & processing: Snowflake/Detabricks/BigQuery/Redshift Infrastructure: Docker/Kubernetes/Terraform/dbt Monitoring: Prometheus/Grafana/OpenTelemetry Cloud More ❯

platform, ensuring scalability, reliability, and security. Drive modernisation by transitioning from legacy systems to a lean, scalable platform. Act as a lead expert for technologies such as AWS, DBT, Airflow, and Databricks. Establish best practices for data modelling, ingestion, storage, streaming, and APIs. Governance & Standards Ensure all technical decisions are well-justified, documented, and aligned with business needs. Lead … in data engineering and cloud engineering, including data ingestion, transformation, and storage. Significant hands-on experience with AWS and its data services. Expert-level skills in SQL, Python, DBT, Airflow and Redshift. Confidence in coding, scripting, configuring, versioning, debugging, testing, and deploying. Ability to guide and mentor others in technical best practices. A product mindset, focusing on user needs More ❯

platform, ensuring scalability, reliability, and security. Drive modernisation by transitioning from legacy systems to a lean, scalable platform. Act as a lead expert for technologies such as AWS, DBT, Airflow, and Databricks. Establish best practices for data modelling, ingestion, storage, streaming, and APIs. Governance & Standards Ensure all technical decisions are well-justified, documented, and aligned with business needs. Lead … in data engineering and cloud engineering, including data ingestion, transformation, and storage. Significant hands-on experience with AWS and its data services. Expert-level skills in SQL, Python, DBT, Airflow and Redshift. Confidence in coding, scripting, configuring, versioning, debugging, testing, and deploying. Ability to guide and mentor others in technical best practices. A product mindset, focusing on user needs More ❯

platform, ensuring scalability, reliability, and security. Drive modernisation by transitioning from legacy systems to a lean, scalable platform. Act as a lead expert for technologies such as AWS, DBT, Airflow, and Databricks. Establish best practices for data modelling, ingestion, storage, streaming, and APIs. Governance & Standards Ensure all technical decisions are well-justified, documented, and aligned with business needs. Lead … in data engineering and cloud engineering, including data ingestion, transformation, and storage. Significant hands-on experience with AWS and its data services. Expert-level skills in SQL, Python, DBT, Airflow and Redshift. Confidence in coding, scripting, configuring, versioning, debugging, testing, and deploying. Ability to guide and mentor others in technical best practices. A product mindset, focusing on user needs More ❯

platform, ensuring scalability, reliability, and security. Drive modernisation by transitioning from legacy systems to a lean, scalable platform. Act as a lead expert for technologies such as AWS, DBT, Airflow, and Databricks. Establish best practices for data modelling, ingestion, storage, streaming, and APIs. Governance & Standards Ensure all technical decisions are well-justified, documented, and aligned with business needs. Lead … in data engineering and cloud engineering, including data ingestion, transformation, and storage. Significant hands-on experience with AWS and its data services. Expert-level skills in SQL, Python, DBT, Airflow and Redshift. Confidence in coding, scripting, configuring, versioning, debugging, testing, and deploying. Ability to guide and mentor others in technical best practices. A product mindset, focusing on user needs More ❯

platform, ensuring scalability, reliability, and security. Drive modernisation by transitioning from legacy systems to a lean, scalable platform. Act as a lead expert for technologies such as AWS, DBT, Airflow, and Databricks. Establish best practices for data modelling, ingestion, storage, streaming, and APIs. Governance & Standards Ensure all technical decisions are well-justified, documented, and aligned with business needs. Lead … in data engineering and cloud engineering, including data ingestion, transformation, and storage. Significant hands-on experience with AWS and its data services. Expert-level skills in SQL, Python, DBT, Airflow and Redshift. Confidence in coding, scripting, configuring, versioning, debugging, testing, and deploying. Ability to guide and mentor others in technical best practices. A product mindset, focusing on user needs More ❯

and governance through robust access controls, including RBAC, SSO, token policies, and pseudonymisation frameworks. Develop resilient data flows for both batch and streaming workloads using technologies such as Kafka, Airflow, DBT, and Terraform. Shape data strategy and standards by contributing to architectural decisions, authoring ADRs, and participating in reviews, data councils, and platform enablement initiatives. What we’d love … requirements Direct exposure to cloud-native data infrastructures (Databricks, Snowflake) especially in AWS environments is a plus Experience in building and maintaining batch and streaming data pipelines using Kafka, Airflow, or Spark Familiarity with governance frameworks, access controls (RBAC), and implementation of pseudonymisation and retention policies Exposure to enabling GenAI and ML workloads by preparing model-ready and vector More ❯

and governance through robust access controls, including RBAC, SSO, token policies, and pseudonymisation frameworks. Develop resilient data flows for both batch and streaming workloads using technologies such as Kafka, Airflow, DBT, and Terraform. Shape data strategy and standards by contributing to architectural decisions, authoring ADRs, and participating in reviews, data councils, and platform enablement initiatives. What we’d love … requirements Direct exposure to cloud-native data infrastructures (Databricks, Snowflake) especially in AWS environments is a plus Experience in building and maintaining batch and streaming data pipelines using Kafka, Airflow, or Spark Familiarity with governance frameworks, access controls (RBAC), and implementation of pseudonymisation and retention policies Exposure to enabling GenAI and ML workloads by preparing model-ready and vector More ❯