At a Glance
- Tasks: Own client support post-deployment, ensuring smooth data platform performance.
- Company: Join a dynamic team focused on innovative data solutions and client satisfaction.
- Benefits: Enjoy remote work flexibility, competitive salary, and bonus opportunities.
- Why this job: Be part of a collaborative culture that values innovation and continuous improvement.
- Qualifications: 5+ years in Data Engineering with strong Azure and BI tool experience required.
- 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 requires hands-on experience. Consider exploring online courses or tutorials that focus on Data Lake, SQL DB/Warehouse, and Synapse to boost your knowledge.
✨Tip Number 2
Engage with the data engineering community through forums or social media groups. Networking with professionals in similar roles can provide insights into the latest trends and challenges in data support, which could be beneficial during interviews.
✨Tip Number 3
Prepare to discuss your experience with BI tools like Power BI or Tableau. Think of specific examples where you've used these tools to solve problems or improve processes, as this will demonstrate your practical knowledge during discussions.
✨Tip Number 4
Showcase your leadership skills by thinking about how you would mentor a small team of Data Engineers. Be ready to share your approach to fostering open communication and supporting team growth, as this is a key aspect of the role.
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, particularly in support roles. Emphasise your hands-on experience with Azure Data Platforms and any BI tools you've worked with.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific examples of how you've successfully managed client support post-deployment and led technical investigations.
Showcase Your Technical Skills: Clearly outline your technical skills related to data modelling, SQL performance tuning, and familiarity with cloud platforms. Use bullet points for clarity and ensure you mention any experience with API tools or ITIL.
Highlight Leadership Experience: Since the role involves leading a team, be sure to include any previous leadership or mentoring experiences. Discuss how you've supported team growth and maintained high performance in past roles.
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, be ready to 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 Leadership Qualities
As you'll be leading a small team, it's important to convey your leadership style. Share experiences where you've mentored others or improved team performance, and explain how you foster open communication and support growth within your team.
✨Prepare for Client Interaction Scenarios
Given that the role requires managing client support post-deployment, think of scenarios where you've successfully interacted with clients. Be ready to discuss how you maintain strong relationships and ensure their needs are met, as this will show your ability to be a trusted partner.