Technical Data Engineer
Posted 2 weeks ago by Experis UK
Negotiable
Undetermined
Hybrid
Northampton, England, United Kingdom
Summary: The Technical Data Engineer role involves designing, developing, and optimizing data pipelines and analytics solutions using modern data platforms such as Databricks, DBT, and Snowflake. The position requires strong communication skills to collaborate with cross-functional teams and ensure data quality and governance. The role is hybrid, requiring 2-3 days on-site work in either Northampton or London. This is a 6-month contract position aimed at driving business insights and decision-making through effective data management.
Key Responsibilities:
- Design, build, and maintain scalable data pipelines using Databricks and DBT.
- Develop and optimize data models and transformations in Snowflake.
- Collaborate with cross-functional teams to understand data requirements and deliver robust solutions.
- Ensure data quality, integrity, and governance across platforms.
- Troubleshoot and resolve data-related issues in a timely manner.
- Document processes, workflows, and technical specifications clearly and effectively.
Key Skills:
- Proven hands-on experience with Databricks (Spark, Delta Lake, notebooks).
- DBT (data modeling, transformations, testing).
- Snowflake (SQL, performance tuning, data warehousing).
- Strong understanding of data engineering principles and best practices.
- Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders.
- Experience working in agile environments and collaborating with data analysts, scientists, and business teams.
Salary (Rate): undetermined
City: Northampton
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Location: Northampton or London / Hybrid 2-3 days on-site 6 Months +
We are seeking a highly skilled and communicative Technical Data Engineer to join our team. The ideal candidate will have hands-on experience with modern data platforms and tools including Databricks, DBT, and Snowflake. You will play a key role in designing, developing, and optimizing data pipelines and analytics solutions that drive business insights and decision-making.
Key Responsibilities
- Design, build, and maintain scalable data pipelines using Databricks and DBT.
- Develop and optimize data models and transformations in Snowflake.
- Collaborate with cross-functional teams to understand data requirements and deliver robust solutions.
- Ensure data quality, integrity, and governance across platforms.
- Troubleshoot and resolve data-related issues in a timely manner.
- Document processes, workflows, and technical specifications clearly and effectively.
Required Skills & Experience
- Proven hands-on experience with:
- Databricks (Spark, Delta Lake, notebooks)
- DBT (data modeling, transformations, testing)
- Snowflake (SQL, performance tuning, data warehousing)
- Strong understanding of data engineering principles and best practices.
- Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders.
- Experience working in agile environments and collaborating with data analysts, scientists, and business teams.
All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!