At a Glance
- Tasks: Stabilise and improve data processes while building secure data pipelines.
- Company: Join a leading UK organisation focused on data security and compliance.
- Benefits: Hybrid/remote work, competitive pay, and potential for contract extension.
- Other info: Dynamic role with opportunities to enhance your data engineering expertise.
- Why this job: Make a real impact in a growing data platform team with hands-on experience.
- Qualifications: Strong SQL skills and experience with Azure data stack required.
The predicted salary is between 50000 - 65000 £ per year.
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.
Azure Data Contract employer: Harvey Nash
Join a leading UK organisation as a Senior Data Engineer and immerse yourself in a dynamic, hybrid work environment that prioritises innovation and data security. With a strong focus on employee growth, you will have the opportunity to enhance your skills while contributing to impactful projects within a collaborative team culture. Enjoy the flexibility of remote work alongside the chance to engage with cutting-edge technologies in a role that promises both challenge and reward.
StudySmarter Expert Advice🤫
We think this is how you could land Azure Data Contract
✨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 lookout for opportunities. You never know who might have a lead or can refer you to someone looking for a Senior Data Engineer.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects, especially those involving Azure data stack and ETL/ELT pipelines. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in data security and compliance. Be ready to discuss how you've handled sensitive data in past roles, as this is crucial for the position.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, it shows you're serious about joining our team and helps us keep track of your application.
We think you need these skills to ace Azure Data Contract
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Senior Data Engineer. Highlight your experience with Azure data stack, SQL, and any relevant projects that showcase your skills in building and maintaining data pipelines.
Showcase Your Projects:Include specific examples of past projects where you've improved data processes or handled sensitive data. This will help us see how you can hit the ground running in our evolving environment.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon unless it's necessary to describe your technical skills.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us!
How to prepare for a job interview at Harvey Nash
✨Know Your Tech Inside Out
Make sure you’re well-versed in the Azure data stack, especially ADF, Synapse, and Databricks. Brush up on your SQL skills and be ready to discuss how you've built ETL/ELT pipelines in the past. The more specific examples you can provide, the better!
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled BAU issues in previous roles. Think of a couple of scenarios where you resolved data processing challenges or improved data quality. This will demonstrate your hands-on experience and ability to stabilise processes.
✨Understand Data Security and Compliance
Since this role focuses heavily on data protection, be ready to talk about your experience with secure data handling and pseudonymisation. Familiarise yourself with relevant regulations and how they impact data engineering practices.
✨Ask Insightful Questions
Prepare some thoughtful questions about the team’s current data processes and the challenges they face. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.
