At a Glance
- Tasks: Design and develop modern data solutions for a large-scale cloud data platform.
- Company: Join a consultancy expanding its data engineering capabilities in the UK government sector.
- Benefits: Competitive pay of £450 a day, remote work, and potential contract extension.
- Other info: Collaborate with a multidisciplinary team in a dynamic, remote environment.
- Why this job: Shape the future of data processing while working with cutting-edge Azure technologies.
- Qualifications: Experience in Azure, Python, SQL, and geospatial datasets is essential.
SR2 is working with a consultancy that is expanding its data engineering capability to support the delivery of a large-scale cloud data platform. They are looking for an experienced Data Engineer to help design and develop modern data solutions capable of handling complex, high-volume datasets.
You will join a multidisciplinary team responsible for developing and evolving a cloud-based data platform. Working across the full data lifecycle, you will help shape how data is collected, processed, governed, and consumed, while contributing to architectural decisions and engineering best practices. A significant proportion of the work involves processing complex location-based datasets, making previous exposure to geospatial or mapping-related data highly beneficial.
Requirements:
- Strong commercial experience delivering data engineering solutions in Azure.
- Strong hands-on experience working with Azure Databricks.
- Experience working with geospatial, mapping or location intelligence datasets.
- Central UK government experience within the recent 5 years.
- Experience developing large-scale distributed data processing workloads.
- Strong Python and SQL development skills.
- Experience working with Spark-based technologies.
- Knowledge of modern cloud data platform patterns and architectures.
- Experience building and supporting automated data pipelines.
- Familiarity with CI/CD practices and modern software engineering principles.
- Strong troubleshooting and performance optimisation skills.
Details: Outside IR35, £450 a day, Remote based, 6 month contract, Strong likelihood of extension.
Please apply with a copy of your CV and Emma from SR2 will contact potential applicants regarding next steps.
Data Engineer - DEFRA employer: SR2
At SR2, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters innovation and collaboration. As a Data Engineer with us, you'll have the opportunity to work remotely on impactful projects within the central government sector, while benefiting from competitive pay and the potential for contract extensions. We are committed to your professional growth, providing access to cutting-edge technologies and a supportive team environment that encourages continuous learning and development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - DEFRA
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who have experience with Azure and geospatial datasets. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure Databricks and complex data processing. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and SQL skills. Be ready to discuss your experience with Spark-based technologies and how you've tackled challenges in previous roles. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Engineer - DEFRA
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role at DEFRA. Highlight your experience with Azure, Databricks, and any geospatial datasets you've worked with. We want to see how your skills match what we're looking for!
Showcase Your Projects:Include specific projects where you've developed data solutions or automated data pipelines. We love seeing real-world examples of your work, especially if they involve large-scale distributed data processing or CI/CD practices.
Keep It Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points for easy reading and make sure to highlight your key achievements. We appreciate a well-structured application that gets straight to the good stuff!
Apply Through Our Website:Don't forget to apply through our website! This helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy and straightforward – just upload your CV and you're good to go!
How to prepare for a job interview at SR2
✨Know Your Azure Inside Out
Make sure you brush up on your Azure knowledge, especially around Azure Databricks and data engineering solutions. Be ready to discuss specific projects where you've implemented these technologies, as this will show your hands-on experience.
✨Showcase Your Geospatial Experience
Since the role involves working with complex location-based datasets, prepare examples of your previous work with geospatial or mapping-related data. Highlight any challenges you faced and how you overcame them to demonstrate your problem-solving skills.
✨Demonstrate Your Data Pipeline Skills
Be prepared to talk about your experience in building and supporting automated data pipelines. Discuss the tools and methodologies you used, and how you ensured performance optimisation and troubleshooting in your past projects.
✨Familiarise Yourself with CI/CD Practices
Understanding modern software engineering principles is key. Brush up on CI/CD practices and be ready to explain how you've applied them in your previous roles. This will show that you're not just a data engineer but also someone who values efficient workflows.
