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- Tasks: Join a consultancy team to ensure smooth daily data operations and support data processes.
- Company: North Scout partners with major corporates, focusing on impactful data solutions.
- Benefits: Enjoy remote work, skill development, and potential career growth in a supportive environment.
- Why this job: Gain hands-on experience with modern tools while making a real impact in a collaborative setting.
- Qualifications: Solid SQL skills and a proactive approach to problem-solving are essential; training provided.
- Other info: 18-month contract with a strong chance of extension or permanent role.
The predicted salary is between 32000 - 44000 £ per year.
Remote – UK-based
Standard Business Hours
18-Month Fixed-Term Contract
£40,000 – £55,000, (DOE)
North Scout are working in partnership with a major corporate client, looking to appoint a Data Operations Engineer to play a hands-on role within their established Data function. This is a great opportunity for someone with a solid foundation in Data Operations or Engineering, who’s keen to build on their experience in a collaborative, delivery-focused setting.
The role:
- As part of a Consultancy team, you’ll be embedded within the client’s data function, helping to ensure the smooth running of daily data operations.
- You’ll work closely with both technical colleagues and stakeholders across the business to support reliable, well-documented data processes.
- This will include:
- Monitoring and supporting daily data loads and pipeline activity.
- Writing and refining SQL queries to transform, validate and extract data.
- Investigating and resolving data quality issues and anomalies.
- Responding to internal data queries and providing ad hoc extracts where needed.
- Maintaining and administering access to data via SharePoint and other channels.
- Contributing to documentation and ensuring processes are clearly recorded.
With this in mind, we’re keen to speak to individuals who can demonstrate:
- Solid SQL skills and experience working with structured data in a commercial environment.
- An understanding of how data pipelines and integration processes work in practice.
- Strong attention to detail and a proactive, methodical approach to problem-solving.
- Confidence working independently as part of a remote consultancy delivery team.
- Any exposure to Azure, Power BI or similar tools would be advantageous.
What’s in it for you...
- Long-term consultancy engagement - join a well-established client engagement with meaningful, day-to-day impact.
- Skill development - gain hands-on experience with Microsoft’s modern data stack in a corporate environment.
- Remote working - work from anywhere in the UK, with standard business hours and regular team support. Some flexibility in the hours.
- Career options - 18-month salaried contract, with a strong chance of extension or permanent employment.
We are looking to engage with qualified candidates who are immediately available, interviews are due to start in the next week.
Data Operations Engineer employer: North Scout
Contact Detail:
North Scout Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Operations Engineer
✨Tip Number 1
Familiarise yourself with the tools mentioned in the job description, especially Azure Data Factory and Power BI. Even if you haven't used them before, having a basic understanding will show your enthusiasm and readiness to learn.
✨Tip Number 2
Brush up on your SQL skills by working on sample projects or online exercises. Being able to demonstrate your proficiency in SQL during discussions can set you apart from other candidates.
✨Tip Number 3
Prepare to discuss your problem-solving approach in detail. Think of specific examples where you've tackled data quality issues or improved data processes, as this will highlight your proactive mindset.
✨Tip Number 4
Network with professionals in the data field, especially those who have experience in consultancy roles. Engaging with others can provide insights into the role and may even lead to referrals.
We think you need these skills to ace Data Operations Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your SQL skills and any experience with data operations or engineering. Emphasise your attention to detail and problem-solving abilities, as these are key for the role.
Craft a Compelling Cover Letter: In your cover letter, explain why you're interested in the Data Operations Engineer position. Mention your familiarity with data pipelines and integration processes, and express your enthusiasm for working with modern tools like Azure and Power BI.
Showcase Relevant Experience: When detailing your work history, focus on specific projects where you monitored data loads, wrote SQL queries, or resolved data quality issues. Use quantifiable achievements to demonstrate your impact in previous roles.
Proofread Your Application: Before submitting, carefully proofread your application materials. Look for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your professionalism.
How to prepare for a job interview at North Scout
✨Brush Up on SQL Skills
Since the role requires solid SQL skills, make sure to review your knowledge of SQL queries. Be prepared to discuss your experience with writing and refining queries, as well as any specific challenges you've faced in data manipulation.
✨Understand Data Pipelines
Familiarise yourself with how data pipelines and integration processes work. Be ready to explain your understanding of these concepts and how they apply to daily operations, as this will demonstrate your readiness for the role.
✨Showcase Problem-Solving Abilities
Highlight your attention to detail and methodical approach to problem-solving during the interview. Prepare examples of past experiences where you successfully identified and resolved data quality issues or anomalies.
✨Familiarity with Modern Tools
While prior experience with Azure, Power BI, or similar tools is a bonus, showing enthusiasm to learn about them can set you apart. Research these tools and be ready to discuss how you would approach learning and using them in the role.
