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For Companies At a Glance
- Tasks: Own client support post-deployment, ensuring smooth data platform performance.
- Company: Join a growing tech company focused on innovative data solutions.
- Benefits: Enjoy remote work flexibility, competitive salary, and bonus opportunities.
- Why this job: Be part of a dynamic team, improving processes and making an impact.
- Qualifications: 5+ years in Data Engineering, with strong Azure and BI tool experience.
- Other info: Lead a small team, mentoring and fostering their professional growth.
The predicted salary is between 43200 - 72000 £ per year.
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.
- 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.
- 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.
Senior Data Support Engineer employer: Cloud2 Consult
Contact Detail:
Cloud2 Consult Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Support Engineer
✨Tip Number 1
Familiarise yourself with Azure Data Platforms, as this role heavily relies on them. Make sure you can discuss your hands-on experience with Data Lake, SQL DB/Warehouse, and Synapse confidently during any conversations.
✨Tip Number 2
Brush up on your knowledge of BI tools like Power BI and Tableau. Being able to demonstrate your proficiency in these tools will show that you can effectively support clients in visualising their data.
✨Tip Number 3
Prepare to discuss your experience with data warehouse development and SQL performance tuning. Highlight specific examples where you've successfully managed metadata or improved system performance.
✨Tip Number 4
Since you'll be leading a small team, think about your leadership style and how you can mentor others. Be ready to share your approach to fostering open communication and supporting team growth during discussions.
We think you need these skills to ace Senior Data Support Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering and support roles. Emphasise your hands-on experience with Azure Data Platforms and any BI tools you've worked with, as these are key requirements for the role.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about data engineering and how your skills align with the company's needs. Mention specific examples of how you've improved processes or resolved complex data issues in previous roles.
Showcase Leadership Skills: Since this role involves leading a small team, highlight any previous leadership or mentoring experiences. Discuss how you've supported team growth and fostered open communication in past positions.
Prepare for Technical Questions: Be ready to discuss your technical expertise in detail during interviews. Prepare to answer questions about data modelling, SQL performance tuning, and your experience with cloud platforms. Consider examples from your past work that demonstrate your problem-solving abilities.
How to prepare for a job interview at Cloud2 Consult
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with Azure Data Platforms and BI tools. Highlight specific projects where you've successfully implemented data solutions, as this will demonstrate your capability to handle the technical demands of the role.
✨Emphasise Problem-Solving Skills
Since the role involves leading technical investigations, come equipped with examples of tricky data issues you've resolved in the past. Discuss your thought process and the steps you took to arrive at a solution, showcasing your analytical skills.
✨Demonstrate Team Leadership
As you'll be leading a small team, share your experiences in mentoring or coaching others. Talk about how you've fostered open communication and supported team members' growth, which will show your leadership style and commitment to teamwork.
✨Prepare for Client Interaction Scenarios
Since client satisfaction is key, think of examples where you've successfully managed client relationships post-deployment. Be ready to discuss how you keep clients informed and happy while ensuring systems perform optimally.
