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- Tasks: Design and optimise data pipelines for seamless data flow across the organisation.
- Company: Join Whitehall Resources, a leader in tech solutions with a collaborative spirit.
- Benefits: Competitive salary, flexible working arrangements, and opportunities for professional growth.
- Why this job: Make an impact by delivering high-quality data solutions that drive business success.
- Qualifications: Experience with ETL/ELT tools and strong SQL skills required.
- Other info: Dynamic role with excellent career advancement opportunities in a fast-paced environment.
The predicted salary is between 50000 - 70000 £ per year.
Whitehall Resources are currently looking for a Data‑Ops Engineer. This role will be Inside of IR35, so you will be required to use an FCSA Accredited Umbrella Company.
Key Requirements
The Data‑Ops Engineer is responsible for designing, automating, and optimizing data pipelines and ensuring smooth data flow across the organization. The role bridges data engineering, operations, and DevOps practices to deliver reliable, high‑quality, and timely data for analytics, reporting, and business applications.
Key Responsibilities
- Design, build, and maintain automated, scalable data pipelines (batch & real‑time).
- Optimize ETL/ELT jobs for performance, reliability, and cost efficiency.
- Ensure data pipelines meet SLAs, quality standards, and security guidelines.
- Manage and monitor data platform operations using DataOps/DevOps practices.
- Ensure high availability and reliability of data platforms (cloud or on‑prem).
- Troubleshoot pipeline failures and perform root cause analysis (RCA).
- Implement CI/CD pipelines for data workflows.
- Automate testing, deployment, and monitoring for data services.
- Implement data validation, profiling, and quality checks.
- Work with data governance teams to enforce metadata standards, lineage, and catalogs.
- Collaborate with data engineers, BI teams, analysts, and product teams.
- Translate business requirements into scalable data solutions.
Key Experience
- Strong experience with ETL/ELT tools (e.g., Informatica, Talend, DBT, Airflow, ADF).
- Proficiency in SQL, data modelling, and performance tuning.
- Hands‑on with cloud platforms (Azure / AWS / GCP) and data services.
- Understanding of DevOps tools: Git, Jenkins, Docker, Kubernetes (optional).
- Familiar with messaging and streaming: Kafka, Event Hub, Kinesis.
- Experience with monitoring tools (e.g., Grafana, Prometheus, CloudWatch).
- Strong analytical and problem‑solving abilities.
- Excellent communication and stakeholder management.
- Ability to work in cross‑functional, agile environments.
Data-Ops Engineer in England employer: Whitehall Resources
Contact Detail:
Whitehall Resources Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data-Ops Engineer in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and join online forums. The more people you know, the better your chances of landing that Data-Ops Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on common Data-Ops scenarios. Practice explaining your thought process when troubleshooting pipeline failures or optimising ETL jobs. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented Data-Ops Engineers like you. Plus, it’s a great way to ensure your application gets noticed.
We think you need these skills to ace Data-Ops Engineer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data-Ops Engineer role. Highlight your experience with ETL/ELT tools and cloud platforms, as these are key for us. Use specific examples that showcase your skills in designing and optimising data pipelines.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you're passionate about data operations and how your background aligns with our needs. Don’t forget to mention any relevant projects or experiences that demonstrate your problem-solving abilities.
Showcase Your Technical Skills: We love seeing technical skills in action! If you have experience with tools like Git, Jenkins, or monitoring tools, make sure to include them. Consider adding a section in your CV that lists your technical proficiencies clearly.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Whitehall Resources
✨Know Your Data Tools
Make sure you brush up on your knowledge of ETL/ELT tools like Informatica, Talend, and Airflow. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've troubleshot pipeline failures or optimised data workflows. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical abilities.
✨Understand the Business Impact
Be ready to explain how your work as a Data-Ops Engineer contributes to the overall business goals. Think about how your data solutions have improved decision-making or operational efficiency in previous roles.
✨Communicate Effectively
Since collaboration is key in this role, practice articulating your thoughts clearly. Prepare to discuss how you've worked with cross-functional teams and managed stakeholder expectations in the past.