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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 a real impact.
- Qualifications: 5+ years in Data Engineering, with 2+ years in support or consultancy roles.
- Other info: Lead a small team, mentoring and fostering their growth.
The predicted salary is between 42000 - 60000 £ 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.
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.
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 requires hands-on experience. Consider setting up a personal project or contributing to open-source projects that utilise these technologies to showcase your skills.
✨Tip Number 2
Brush up on your knowledge of BI tools like Power BI and Tableau. You could create sample dashboards or reports to demonstrate your ability to turn data into insights, which will be valuable during discussions with the interviewers.
✨Tip Number 3
Prepare to discuss your experience in managing support incidents and how you've improved processes in previous roles. Think of specific examples where you led a team or streamlined operations, as this will highlight your leadership capabilities.
✨Tip Number 4
Since you'll be leading a small team, consider how you can demonstrate your mentoring skills. Reflect on past experiences where you've coached others or facilitated their growth, as this will resonate well with the hiring team.
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 the role involves leading a small team, highlight any leadership or mentoring experience you have. Discuss how you've supported team members' growth and contributed to a positive team environment.
Prepare for Technical Questions: Be ready to discuss your technical expertise in detail. Prepare examples of past projects where you've used SQL performance tuning, data modelling, or cloud platforms. This will demonstrate your capability to handle the technical challenges of the role.
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, share examples of tricky data issues you've resolved in the past. Discuss your approach to troubleshooting and how you ensure client satisfaction through effective solutions.
✨Demonstrate Team Leadership
As you'll be leading a small team, talk about your experience in mentoring and coaching others. Provide examples of how you've fostered open communication and supported team members' growth in previous roles.
✨Prepare for Client Interaction Scenarios
Since the position requires working closely with clients, practice discussing how you manage client relationships and ensure their needs are met post-deployment. Be ready to explain how you keep systems performing well and maintain high service standards.
