
Ecosurety
Data Engineer
Salary
Up to £60k
Work type
Hybrid
Level
mid
Category
Data Engineering
About the role
We are looking for a Data Engineer to build and maintain data pipelines and transformations that power our analytics and business intelligence. You'll work closely with analysts and stakeholders to deliver reliable, high-quality data products using modern data engineering tools and practices.
Ecosurety is an industry leading company of 95+ people, based in the heart of Bristol’s vibrant city centre, with a mission to accelerate change towards an environmentally and socially sustainable world. Our clients are many of the UK big brands and retailers, often facing particularly big challenges over their use of packaging. We are a Certified B Corp, committed to balancing profit with our social and environmental impact. If this sounds like your sort of place, we hope to hear from you soon.
Job Description
- Design and build data pipelines in Azure Data Factory (ADF) and Python to extract, transform, and load data from various sources
- Deploy those pipelines on our Azure infrastructure – mainly Azure Container Apps and Azure functions
- Write efficient SQL queries and stored procedures to transform and model data
- Develop and maintain data transformation logic using dbt (data build tool)
- Implement data quality checks and monitoring to ensure pipeline reliability
- Optimize data models and queries for performance
- Document data flows, transformations, and data lineage
- Collaborate with analysts to understand requirements and deliver data solutions
Person Specification
- Proven experience in data engineering or related roles
- Strong SQL skills with experience in data modelling and query optimization
- Solid Python programming skills for data processing and scripting
- Experience building data pipelines in Azure Data Factory
- Understanding of ETL/ELT concepts and best practices
- Experience with dbt or similar data transformation tools
- Familiarity with data warehousing concepts
- Strong problem-solving skills and attention to data quality
- Ability to write clear documentation
Useful experience:
- Understanding of dimensional modelling (star schema, snowflake schema)
- Experience with version control (ADO, Git)
- Familiarity with CI/CD concepts
- Experience with data visualization tools (Power BI, Tableau)
- Understanding of data governance and data quality concepts
- Experience with Snowflake
- Experience using LLMs for unstructured data manipulation and analysis
Technical Environment
- Cloud: Azure
- Data Pipeline: Azure Data Factory, Azure Functions
- Languages: dbt, Python, SQL
- Version Control: Azure DevOps Git
We do not recruit based only on skills. We give equal weight to behaviours and the successful candidate must be well aligned with the Ecosurety Values Framework. Specifically, we will be looking for examples of: Diligence; Accountability; Proactivity
Package
- £60,000 per year
- Permanent full-time contract (would consider some flexibility for the right candidate)
- 28 days holiday plus 8 bank holidays
- 5 x salary life insurance, 7% employer pension contribution, up to 10% bonus, employee health cash plan, paid sick leave, critical illness cover, 2 weeks workcation, options to buy additional holiday or unpaid leave, 3 days volunteer leave, happy to talk flexible working, remote working, wellbeing support, great office location, £250 home working set up payment.
- Hybrid working: Employees are expected to work with colleagues (primarily at the office) at least 50% of the month
Ecosurety offers a working environment that enables our team to perform at their best, with flexible hours, remote working options, access to training and employee benefits.
We are an Equal Opportunities employer and welcome applications from all. We embrace flexibility and diversity in the workplace and aim to create a working environment in which all individuals can make best use of their skills, free from discrimination, harassment or bullying.
We reserve the right to bring forward the closing date of any of our job vacancies if we receive a suitable number of high-quality applications from which to make a shortlist. Therefore, we recommend that you apply for one of our roles as soon as possible rather than wait until the published closing date.
Tech stack

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Ecosurety
Data Engineer
Salary
Up to £60k
Work type
Hybrid
Level
mid
Category
Data Engineering
About the role
We are looking for a Data Engineer to build and maintain data pipelines and transformations that power our analytics and business intelligence. You'll work closely with analysts and stakeholders to deliver reliable, high-quality data products using modern data engineering tools and practices.
Ecosurety is an industry leading company of 95+ people, based in the heart of Bristol’s vibrant city centre, with a mission to accelerate change towards an environmentally and socially sustainable world. Our clients are many of the UK big brands and retailers, often facing particularly big challenges over their use of packaging. We are a Certified B Corp, committed to balancing profit with our social and environmental impact. If this sounds like your sort of place, we hope to hear from you soon.
Job Description
- Design and build data pipelines in Azure Data Factory (ADF) and Python to extract, transform, and load data from various sources
- Deploy those pipelines on our Azure infrastructure – mainly Azure Container Apps and Azure functions
- Write efficient SQL queries and stored procedures to transform and model data
- Develop and maintain data transformation logic using dbt (data build tool)
- Implement data quality checks and monitoring to ensure pipeline reliability
- Optimize data models and queries for performance
- Document data flows, transformations, and data lineage
- Collaborate with analysts to understand requirements and deliver data solutions
Person Specification
- Proven experience in data engineering or related roles
- Strong SQL skills with experience in data modelling and query optimization
- Solid Python programming skills for data processing and scripting
- Experience building data pipelines in Azure Data Factory
- Understanding of ETL/ELT concepts and best practices
- Experience with dbt or similar data transformation tools
- Familiarity with data warehousing concepts
- Strong problem-solving skills and attention to data quality
- Ability to write clear documentation
Useful experience:
- Understanding of dimensional modelling (star schema, snowflake schema)
- Experience with version control (ADO, Git)
- Familiarity with CI/CD concepts
- Experience with data visualization tools (Power BI, Tableau)
- Understanding of data governance and data quality concepts
- Experience with Snowflake
- Experience using LLMs for unstructured data manipulation and analysis
Technical Environment
- Cloud: Azure
- Data Pipeline: Azure Data Factory, Azure Functions
- Languages: dbt, Python, SQL
- Version Control: Azure DevOps Git
We do not recruit based only on skills. We give equal weight to behaviours and the successful candidate must be well aligned with the Ecosurety Values Framework. Specifically, we will be looking for examples of: Diligence; Accountability; Proactivity
Package
- £60,000 per year
- Permanent full-time contract (would consider some flexibility for the right candidate)
- 28 days holiday plus 8 bank holidays
- 5 x salary life insurance, 7% employer pension contribution, up to 10% bonus, employee health cash plan, paid sick leave, critical illness cover, 2 weeks workcation, options to buy additional holiday or unpaid leave, 3 days volunteer leave, happy to talk flexible working, remote working, wellbeing support, great office location, £250 home working set up payment.
- Hybrid working: Employees are expected to work with colleagues (primarily at the office) at least 50% of the month
Ecosurety offers a working environment that enables our team to perform at their best, with flexible hours, remote working options, access to training and employee benefits.
We are an Equal Opportunities employer and welcome applications from all. We embrace flexibility and diversity in the workplace and aim to create a working environment in which all individuals can make best use of their skills, free from discrimination, harassment or bullying.
We reserve the right to bring forward the closing date of any of our job vacancies if we receive a suitable number of high-quality applications from which to make a shortlist. Therefore, we recommend that you apply for one of our roles as soon as possible rather than wait until the published closing date.