At a Glance
- Tasks: Build data solutions and pipelines using Azure Data Factory and Python.
- Company: Join a specialised Civil Service Organisation undergoing a cloud transformation.
- Benefits: Enjoy a £55k salary, 28.9% pension, and flexible working hours.
- Other info: Unlimited learning resources and excellent career growth opportunities.
- Why this job: Make a real impact in data engineering while developing your skills.
- Qualifications: Experience with Azure Data Factory, Python, and data modelling required.
The predicted salary is between 55000 - 55000 € per year.
A specialised Civil Service Organisation is undergoing a transformation into the cloud space and is looking to recruit a Senior Data Engineer. This role is ideal for any data engineer with extensive experience in Azure Data Factory and Python.
What the Senior Data Engineer will be doing:
- Supporting the Data Engineering Lead and working closely with the Data Management and Business Intelligence teams to build solutions, pipelines, and plans using current frameworks and toolkits.
- Helping develop world-class data engineering capabilities.
- Owning data engineering artefacts for data pipelines you will build.
- Prioritising data enhancements and plans alongside the IPO teams.
- Ensuring the ease of data movement internally and externally.
What the successful Senior Data Engineer will bring to the team:
- Active use of Azure Data Factory (ADF) and DataBricks, as well as proficiency in Python.
- Evidence of designing, coding, testing, and correcting simple programs and scripts.
- Ability to design scalable and future-proof data services.
- Experience cleansing data sets, formatting, and preparing them.
- Experience in Data Modelling and Data Governance.
Here's What You'll Get in Return:
- Pension scheme up to 28.9%.
- Salary: £55,000.
- Full Flexi-Time - Work your 37.5 hours on any schedule between 5am and 10pm.
- Accrued Time - If you work 37.5 hours in 4 days, you can have the fifth day off.
- Unlimited Pluralsight learning videos.
- 25 Days annual leave PLUS Bank Holidays (increasing to 30 days).
If you think this Senior Data Engineer opportunity is for you, please apply online.
Senior Data Engineer employer: Yolk Recruitment Ltd
Yolk Recruitment is an exceptional employer, offering a dynamic work culture that prioritises flexibility and employee growth. With a generous pension scheme of up to 28.9%, unlimited access to learning resources, and the opportunity for accrued time off, employees are empowered to thrive both personally and professionally. Located in Newport, this role as a Senior Data Engineer not only allows you to contribute to meaningful projects within the Civil Service but also fosters a diverse and inclusive environment where every team member can bring their authentic selves to work.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Azure Data Factory and Python. 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 data pipelines and cloud solutions. This gives potential employers a tangible look at what you can do, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your experience with Azure Data Factory and Python clearly and confidently, so you can impress the hiring team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re here to support you every step of the way in landing that Senior Data Engineer role.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with Azure Data Factory, Python, and any relevant data engineering projects. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you a perfect fit. Don’t forget to mention your experience with data pipelines and governance.
Showcase Your Achievements:When detailing your past roles, focus on your achievements rather than just responsibilities. Quantify your successes where possible, like improvements in data processing times or successful project completions. We love numbers!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s straightforward and ensures your application gets to us directly. Plus, we can’t wait to hear from you!
How to prepare for a job interview at Yolk Recruitment Ltd
✨Know Your Tech Inside Out
Make sure you brush up on your Azure Data Factory and Python skills. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your ability to design scalable solutions and manage data effectively. Think about times when you had to cleanse data sets or implement data governance practices, and be ready to share those stories.
✨Understand the Company’s Transformation
Research the organisation's current transformation into the cloud space. Being able to speak knowledgeably about their goals and how your role as a Senior Data Engineer fits into that vision will impress the interviewers.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the tools they use, and their future data strategies. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
