At a Glance
- Tasks: Own and improve data pipelines, transforming structured data into graph-based formats.
- Company: Purpose-led consultancy with a focus on impactful client delivery.
- Benefits: Competitive salary, hybrid working, generous holiday, and excellent tech setup.
- Other info: Dynamic role with opportunities for growth in a collaborative environment.
- Why this job: Lead innovative data projects and shape the future of data engineering.
- Qualifications: Strong ETL/ELT pipeline experience and good Python skills required.
The predicted salary is between 60000 - 80000 € per year.
Oxfordshire / Hybrid
£60,000 – £80,000 DOE
Permanent | Full-time
We're working with a purpose-led consultancy looking for a Senior Data Engineer to take ownership of a key data function that sits at the heart of their client delivery. This is not a standard "keep the pipelines running" role. You'll inherit an existing data pipeline framework, assess what is working, decide what needs improving or replacing, and take the lead on building a robust, scalable approach for the future.
What you'll be doing
- You'll be responsible for owning and improving data pipelines that transform structured data into graph-based formats.
- You'll work closely with consultants, software engineers, and client-facing teams to make sure data is accurate, usable, and meaningful.
Key responsibilities
- Own, assess, improve, or rebuild existing ETL/ELT pipelines
- Build reliable data workflows using Python
- Work with orchestration tools such as Airflow or similar
- Improve data quality, validation, lineage, and troubleshooting
- Collaborate with consultants and non-technical stakeholders
- Help translate messy business/client data into structured models
- Learn and apply knowledge graph / semantic web technologies
- Work with the software team on coding standards, reviews, and best practice
- Provide technical ownership and direction in an ambiguous, evolving space
What we're looking for
- Strong experience building and operating ETL/ELT pipelines
- Good Python skills
- Experience with workflow orchestration tools
- Git/GitHub experience
- Ability to own technical decisions and work independently
- Strong communication skills with non-technical stakeholders
- Comfortable working in ambiguity and shaping your own direction
- Interest in data modelling, knowledge graphs, or semantic technologies
The role is hybrid from Oxfordshire, with an expectation of 4 days per week in the office during the first 6 months, reducing to 3 days per week thereafter.
Applicants must be eligible to work in the UK without sponsorship and be likely to meet BPSS / SC clearance requirements.
Benefits
- £60,000 – £80,000 depending on experience
- Hybrid working
- 35-hour working week
- 25 days holiday plus bank holidays
- 5% employer pension contribution
- Generous sick pay and parental leave
- High-quality tech setup
Senior Data Engineer - Hybrid ID47956 employer: LinkedIn
Join a purpose-led consultancy in Oxfordshire as a Senior Data Engineer, where you'll have the opportunity to take ownership of key data functions and drive meaningful improvements. With a hybrid working model, a supportive work culture, and a focus on employee growth, you will benefit from a generous holiday allowance, a strong pension contribution, and a high-quality tech setup, all while collaborating with a dynamic team dedicated to delivering impactful solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - Hybrid ID47956
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, attend meetups, and engage on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills and understanding the latest trends in data engineering. We recommend practising common interview questions and even doing mock interviews with friends or mentors to boost your confidence.
✨Tip Number 3
Showcase your projects! Whether it's a GitHub repository or a personal website, having a portfolio of your work can really set you apart. We love seeing how you’ve tackled real-world problems with your data skills, so make sure to highlight those achievements.
✨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 always on the lookout for passionate candidates who are ready to take ownership and make an impact in their roles.
We think you need these skills to ace Senior Data Engineer - Hybrid ID47956
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior Data Engineer. Highlight your experience with ETL/ELT pipelines and Python, and don’t forget to mention any orchestration tools you’ve used. We want to see how your skills align with 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 data engineering and how you can contribute to our purpose-led consultancy. Be sure to mention your ability to work independently and communicate with non-technical stakeholders.
Showcase Your Projects:If you’ve worked on any relevant projects, make sure to include them in your application. Whether it’s building data workflows or improving data quality, we love to see real examples of your work that demonstrate your skills and problem-solving abilities.
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. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at LinkedIn
✨Know Your Data Pipelines
Make sure you understand the existing data pipeline framework mentioned in the job description. Be ready to discuss your experience with ETL/ELT processes and how you've improved or rebuilt pipelines in the past. This shows that you can take ownership of the role.
✨Show Off Your Python Skills
Brush up on your Python knowledge before the interview. Prepare to talk about specific projects where you've used Python to build reliable data workflows. If you can share examples of how you've tackled challenges using Python, even better!
✨Communicate Clearly with Non-Techies
Since you'll be working closely with non-technical stakeholders, practice explaining complex data concepts in simple terms. Think of examples where you've successfully communicated technical information to a non-technical audience, as this will highlight your strong communication skills.
✨Embrace Ambiguity
The role requires comfort in ambiguous situations. Be prepared to discuss times when you've had to shape your own direction or make technical decisions without clear guidance. This will demonstrate your ability to thrive in an evolving environment.
