Senior Data Support Engineer

ZipRecruiter; Nottingham; Hybrid; GBP 50,000 - 60,000; Full time

Job summary

A leading company seeks a Senior Support Data Engineer to enhance client support for data platforms. This role involves ownership of post-deployment client interactions, leading a small team, and fostering innovative solutions to improve efficiency. Ideal candidates will have a strong background in Azure technologies and data management.

Qualifications

• Minimum of 5 years experience in Data Engineering, with 2+ years in a support role.
• Strong understanding of Azure, data modelling, and data warehouse development.
• Comfortable with Agile work environments.

Responsibilities

• Lead client support post-deployment and manage team performance.
• Conduct technical investigations and develop reusable solutions.
• Improve support frameworks and ensure customer satisfaction.

Skills

Azure Data Platforms

Data Lake

Data Warehouse

SQL performance tuning

Data modelling

Power BI

Tableau

Education

Degree in Computer Science, Engineering, or Maths

Tools

PowerShell

API tools like Postman

Job description

Job Description

Senior Support Data Engineer

Contract: Full-time, Permanent

Salary: Up to £60,000 + Benefits + Bonus

Location: Remote (2 days per month in Nottingham)

About the Role

My client is on the lookout for a talented Senior Data Engineer (Support) to join their growing team. You’ll be working closely with clients to provide top-notch support after deployment, making sure their data platforms run smoothly and efficiently. Plus, you’ll help improve how the team works and find smarter ways to do things.

What You’ll Be Doing

• Taking full ownership of client support post-deployment — keeping systems performing well and clients happy.
• Leading technical investigations to solve tricky data issues quickly and effectively.
• Working with the internal teams to make sure we deliver excellent service every time.
• Spotting chances to streamline processes and create reusable solutions.
• Helping to improve support frameworks and the way the team operates.

What You’ll Need

Technical Skills:

• Hands-on experience with Azure Data Platforms — think Data Lake, SQL DB/Warehouse, and Synapse.
• Good knowledge of BI tools like Power BI, Tableau, QlikView, or Google Data Studio.
• A solid understanding of data modelling, profiling, and integration architecture.
• Experience with data warehouse development, SQL performance tuning, and managing metadata.
• Familiarity with Data Vault methodology and cloud platforms such as AWS, GCP, Snowflake, or Databricks.

Support & Teamwork:

• Managing upgrades, deployments, and updates smoothly with stakeholders.
• Leading support incident triage and resolution on critical systems.
• Keeping an eye on team performance and making sure we hit our SLAs.
• Creating helpful scripts, tools, and knowledge bases for common issues.

Bonus Points:

• Experience with API tools like Postman and scripting in PowerShell.
• Knowledge of ITIL, incident management, and tools like HubSpot Service Tool.
• Comfortable working in Agile or hybrid delivery setups.
• Any exposure to Microsoft Fabric is a plus.

Leading the Team

You’ll also lead a small but impactful team of Data Engineers — mentoring and coaching them, encouraging open communication, and supporting their growth. You’ll give clear feedback and help guide their career development.

What Success Looks Like

• Clients see you and the team as a natural extension of their own.
• You keep the support function running smoothly, hitting SLAs and innovating where you can.
• You’re always spotting ways to improve things, both for the team and the clients.

About You

• You’ve got a degree or equivalent in Computer Science, Engineering, Maths, or something similar.
• You’ve spent at least 5 years working in Data Engineering, with 2+ years in a support or consultancy role.
• You’re confident chatting with both tech teams and business folks about complex issues.