Proven track record building and maintaining scalable data platforms in production, enabling advanced users such as ML and analytics engineers. Hands-on experience with modern data stack tools - Airflow, DBT, Databricks, and data catalogue/observability solutions like Monte Carlo, Atlan, or DataHub. Solid understanding of cloud environments (AWS or GCP), including IAM, S3, ECS, RDS, or equivalent services. Experience More ❯
and a strong commitment to data integrity. Excellent problem-solving skills and ability to work in a fast-paced environment. Preferred Qualifications Experience with Databricks or Ray. Familiarity with dbt and Airflow. Experience with data quality frameworks. Understanding of ML requirements and experience working with ML teams. Experience in robotics or a related field. Familiarity with cloud-based data storage More ❯
and a strong commitment to data integrity. Excellent problem-solving skills and ability to work in a fast-paced environment. Preferred Qualifications Experience with Databricks or Ray. Familiarity with dbt and Airflow. Experience with data quality frameworks. Understanding of ML requirements and experience working with ML teams. Experience in robotics or a related field. Familiarity with cloud-based data storage More ❯
and a strong commitment to data integrity. Excellent problem-solving skills and ability to work in a fast-paced environment. Preferred Qualifications Experience with Databricks or Ray. Familiarity with dbt and Airflow. Experience with data quality frameworks. Understanding of ML requirements and experience working with ML teams. Experience in robotics or a related field. Familiarity with cloud-based data storage More ❯
london (city of london), south east england, united kingdom
Humanoid
and a strong commitment to data integrity. Excellent problem-solving skills and ability to work in a fast-paced environment. Preferred Qualifications Experience with Databricks or Ray. Familiarity with dbt and Airflow. Experience with data quality frameworks. Understanding of ML requirements and experience working with ML teams. Experience in robotics or a related field. Familiarity with cloud-based data storage More ❯
and a strong commitment to data integrity. Excellent problem-solving skills and ability to work in a fast-paced environment. Preferred Qualifications Experience with Databricks or Ray. Familiarity with dbt and Airflow. Experience with data quality frameworks. Understanding of ML requirements and experience working with ML teams. Experience in robotics or a related field. Familiarity with cloud-based data storage More ❯
handle sensitive and confidential information Experience working with non-data stakeholders to translate their needs and generate useful results presented in an understandable way Familiarity with orchestration tools (Airflow, DBT) and data warehouse modelling Managing other data engineers Experience with customer and commercial datasets, especially in retail or FMCG A love of pets! About Jollyes Pets Jollyes are an award More ❯
London, England, United Kingdom Hybrid / WFH Options
Harnham
testing, CI/CD, automation). Proven track record of designing, building, and scaling data platforms in production environments. Hands-on experience with big data technologies such as Airflow, DBT, Databricks, and data catalogue/observability tools (e.g. Monte Carlo, Atlan, Datahub). Knowledge of cloud infrastructure (AWS or GCP) - including services such as S3, RDS, EMR, ECS, IAM. Experience More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
testing, CI/CD, automation). Proven track record of designing, building, and scaling data platforms in production environments. Hands-on experience with big data technologies such as Airflow, DBT, Databricks, and data catalogue/observability tools (e.g. Monte Carlo, Atlan, Datahub). Knowledge of cloud infrastructure (AWS or GCP) - including services such as S3, RDS, EMR, ECS, IAM. Experience More ❯
services You have an indepth knowledge of SQL and Python You have strong hands-on experience of building scalable data pipelines in cloud based environments using tools such as DBT, AWS Glue, AWS Lake Formation, Apache Spark and Amazon Redshift You have a good knowledge of data modelling, ELT design patterns, data governance and security best practices You're collaborative More ❯
services You have an indepth knowledge of SQL and Python You have strong hands-on experience of building scalable data pipelines in cloud based environments using tools such as DBT, AWS Glue, AWS Lake Formation, Apache Spark and Amazon Redshift You have a good knowledge of data modelling, ELT design patterns, data governance and security best practices You're collaborative More ❯
services You have an indepth knowledge of SQL and Python You have strong hands-on experience of building scalable data pipelines in cloud based environments using tools such as DBT, AWS Glue, AWS Lake Formation, Apache Spark and Amazon Redshift You have a good knowledge of data modelling, ELT design patterns, data governance and security best practices You're collaborative More ❯
governance and information security credentials. What technical skills are required? ETL/ELT & Data Transformation: Amazon Redshift (query tuning, distribution/sort keys, workload management) Data modelling (normalisation, dimensional) dbt (modeling, testing, documentation, deployment) Building scalable ETL/ELT pipelines with Python Workflow Orchestration: Apache Airflow (DAG design, scheduling, monitoring, scaling) Best practices for dependency management, retries, and alerting Cloud More ❯
City of London, London, United Kingdom Hybrid / WFH Options
twentyAI
platforms (AWS/GCP/Azure/Snowflake) Passion for data quality, scalability, and collaboration Nice to have: Experience with SaaS products, analytics tooling, or modern data stack tools (dbt, Airflow). Perks: EMI share options • Training budget • Private healthcare • Pension • 25 days holiday + bank holidays • Central London office & socials • Work abroad up to 1 month/year Why More ❯
platforms (AWS/GCP/Azure/Snowflake) Passion for data quality, scalability, and collaboration Nice to have: Experience with SaaS products, analytics tooling, or modern data stack tools (dbt, Airflow). Perks: EMI share options • Training budget • Private healthcare • Pension • 25 days holiday + bank holidays • Central London office & socials • Work abroad up to 1 month/year Why More ❯
london, south east england, united kingdom Hybrid / WFH Options
twentyAI
platforms (AWS/GCP/Azure/Snowflake) Passion for data quality, scalability, and collaboration Nice to have: Experience with SaaS products, analytics tooling, or modern data stack tools (dbt, Airflow). Perks: EMI share options • Training budget • Private healthcare • Pension • 25 days holiday + bank holidays • Central London office & socials • Work abroad up to 1 month/year Why More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
twentyAI
platforms (AWS/GCP/Azure/Snowflake) Passion for data quality, scalability, and collaboration Nice to have: Experience with SaaS products, analytics tooling, or modern data stack tools (dbt, Airflow). Perks: EMI share options • Training budget • Private healthcare • Pension • 25 days holiday + bank holidays • Central London office & socials • Work abroad up to 1 month/year Why More ❯
slough, south east england, united kingdom Hybrid / WFH Options
twentyAI
platforms (AWS/GCP/Azure/Snowflake) Passion for data quality, scalability, and collaboration Nice to have: Experience with SaaS products, analytics tooling, or modern data stack tools (dbt, Airflow). Perks: EMI share options • Training budget • Private healthcare • Pension • 25 days holiday + bank holidays • Central London office & socials • Work abroad up to 1 month/year Why More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Immersum
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-edge dataMore ❯
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-edge dataMore ❯
london, south east england, united kingdom Hybrid / WFH Options
Immersum
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-edge dataMore ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Immersum
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-edge dataMore ❯
slough, south east england, united kingdom Hybrid / WFH Options
Immersum
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-edge dataMore ❯
a scalable data pipelines with cloud-native tools in AWS or similar. Extensive experience working with a data warehousing solution preferrably Snowflake. Excellent data modelling and analytics techniques preferrably dbt (for transforming raw data into meaningful insights within modern data warehouses) Strong Python and SQL coding skills. JavaScript is a plus but not required. Experience implementing development best practices including More ❯
a scalable data pipelines with cloud-native tools in AWS or similar. Extensive experience working with a data warehousing solution preferrably Snowflake. Excellent data modelling and analytics techniques preferrably dbt (for transforming raw data into meaningful insights within modern data warehouses) Strong Python and SQL coding skills. JavaScript is a plus but not required. Experience implementing development best practices including More ❯