At a Glance
- Tasks: Design and improve secure data processing services in a dynamic environment.
- Company: Join a leading UK organisation focused on data innovation.
- Benefits: Hybrid/remote work, competitive pay, and potential contract extension.
- Other info: Opportunity to work with sensitive data and develop your career.
- Why this job: Make an impact by stabilising and enhancing vital data processes.
- Qualifications: Strong SQL skills and experience with Azure data stack required.
The predicted salary is between 60000 - 80000 £ per year.
A high volume of applicants is expected for the role as detailed below, do not wait to send your CV.
Contract | Hybrid/Remote | 3 Month Contract (Potential extension)
This is an opportunity for a delivery-focused contractor who can hit the ground running and stabilise and improve existing data processes. Work across engineering, governance, and infrastructure teams. Comfortable operating in an environment where processes are evolving and there is a strong focus on data security and compliance.
We are supporting a leading UK organisation in hiring a Senior Data Engineer to design, build, and improve secure data processing services. This is a hands-on contract role within a growing data platform team, working across data landing zones and core data repositories, handling sensitive data to support research and analytic outcomes.
You will support and develop a secure cloud-based data environment, including:
- Building and maintaining data pipelines and transformation processes
- Supporting data ingestion, validation, and processing workflows
- Designing and maintaining data models
- Improving data quality, metadata, and documentation
- Supporting onboarding of new data sets
- Creating secure, repeatable data engineering processes
- Resolving BAU issues and ensuring platform stability
Key Focus Areas
- Data ingestion and pipeline development
- Data protection and pseudonymisation
- Processing sensitive data sets
- BYOD (Bring Your Own Data) pipelines
- Governance and secure data handling
Key Skills & Experience
- Strong SQL and data modelling experience
- Azure data stack (ADF, Synapse, Fabric, Databricks)
- Experience building ETL/ELT pipelines
- Python / PySpark (desirable)
- DBT or similar transformation tools
- Experience with orchestration tools (ADF, Airflow, Prefect)
- CI/CD, Git, and Azure DevOps
If you are a hands-on Azure Data Engineer with experience working in secure or regulated environments, we'd welcome the opportunity to discuss this role with you.
Senior Data Engineer in Sunderland employer: Harvey Nash
Join a leading UK organisation that values innovation and collaboration, offering a dynamic work environment where you can thrive as a Senior Data Engineer. With a strong focus on employee growth, you'll have the opportunity to enhance your skills while working on cutting-edge data solutions in a hybrid/remote setting. Enjoy the benefits of a supportive culture that prioritises data security and compliance, ensuring your contributions make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Sunderland
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the hunt for a Senior Data Engineer role. You never know who might have the inside scoop on openings or can refer you directly.
✨Tip Number 2
Get your hands dirty with projects! If you’ve got some spare time, work on personal or open-source projects that showcase your skills in SQL, Azure, and data pipelines. This not only sharpens your abilities but also gives you something tangible to discuss in interviews.
✨Tip Number 3
Prepare for those interviews! Brush up on common data engineering questions and be ready to talk about your experience with Azure data stack and ETL processes. Practising your responses will help you feel more confident when it’s showtime.
✨Tip Number 4
Apply through our website! We make it super easy for you to submit your application for the Senior Data Engineer role. Plus, applying directly shows your enthusiasm and commitment to joining our team!
We think you need these skills to ace Senior Data Engineer in Sunderland
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with SQL, Azure data stack, and any relevant projects that showcase your skills in building data pipelines and handling sensitive data.
Showcase Your Technical Skills:Don’t just list your technical skills; provide examples of how you've used them in past roles. Mention specific tools like ADF, Databricks, or Python, and how they contributed to successful data projects.
Keep It Clear and Concise:We love a well-structured application! Keep your language clear and concise, focusing on your achievements and how they relate to the job description. Avoid jargon unless it’s relevant to the role.
Apply Through Our Website:To make sure your application gets noticed, apply directly through our website. It’s the best way for us to receive your details and get you into the process quickly!
How to prepare for a job interview at Harvey Nash
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technical skills listed in the job description, especially SQL and the Azure data stack. Brush up on your experience with ETL/ELT pipelines and be ready to discuss specific projects where you've used these technologies.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in previous roles, particularly around data quality and governance. Think about situations where you improved processes or resolved issues, as this will demonstrate your hands-on experience and delivery focus.
✨Understand Data Security and Compliance
Since the role involves handling sensitive data, be prepared to discuss your understanding of data protection measures and compliance standards. Familiarise yourself with best practices in data security and be ready to share how you've implemented these in past projects.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions about the team’s current data processes and challenges. This shows your genuine interest in the role and helps you gauge if the company’s environment aligns with your working style.
