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For Companies At a Glance
- Tasks: Craft data platforms and pipelines that drive innovation and strategic decision-making.
- Company: Join Ascent, a dynamic digital transformation business with a vibrant culture.
- Benefits: Enjoy flexible work options, wellbeing support, and professional development opportunities.
- Why this job: Make a real impact on data-driven projects across diverse industries.
- Qualifications: Experience in Azure Data Engineering and strong communication skills required.
- Other info: Collaborative environment with excellent career growth and mentorship opportunities.
The predicted salary is between 36000 - 60000 £ per year.
The creative mind behind every project. Put your skills to the test to build solutions that continue to shape the world we live in.
About Us
We are Ascent! and we help our customers solve problems, elevate, and do existing things better. We are on a mission to help our customers connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business.
We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home devices, space exploration, beer manufacturing, finance, ecology, and logistics. We work with some of the sharpest minds in the brightest businesses and we employ the sharpest minds too!
At Ascent, we also believe in fostering a vibrant office community where collaboration thrives and connections flourish. With our hybrid approach, we prioritize hiring individuals who reside in close proximity to our offices. Our aim is to cultivate a positive atmosphere and sense of belonging by facilitating easy access to the office.
About The Role
As a Senior Data Engineer, you will make an impact on the future of data-driven innovation by joining our dynamic, forward-thinking team. You’ll craft the data platforms, models, and pipelines that inform strategic decision-making for our customers and prepare data for use cases from simple analytics to Generative AI and Data Science. This role reports to our Principal Data Engineer.
Your Role
- Collaborate and Innovate: Partner with internal and customer stakeholders to understand business needs and produce high quality data products and assets.
- Create Success: Work with solution architects to build trusted customer relationships and lay the foundation for best practice data engineering.
- Leverage Expertise: Be a subject matter expert in data engineering; build well-structured data pipelines, models, transformations and tests.
- Share Experience: Support and mentor junior team members, stay current with trends, share insights via blogs and other media.
- Work in a Hybrid Environment: Participate in weekly in-person meetings at London or Bristol offices, with occasional travel to customer sites. Flexible remote/on-site work.
- Contribute to Accelerators: Help evolve Ascent’s data accelerators, patterns and metadata frameworks for rapid, effective solutions.
- Data Engineering architecture: Develop blueprints and guides for multi-client applicability.
- Pre-sales support: Provide a Data Engineering perspective in proposed solutions.
Your Skills
- Azure Data Engineering: Proven success as an Azure Data Engineer, able to consult, engineer and optimise customer data products and assets.
- Azure Data Products: Expertise in Microsoft Fabric, Azure Synapse Analytics, Azure Databricks; experience with Power BI, Microsoft Purview, Azure SQL Database, Cosmos DB, Data Lake, etc.
- Azure: Understand core Azure infrastructure concepts and tools (Networks, Identity/Entra, ARM, BICEP, Terraform). Not required to be an expert.
- DevOps: Experience with CI/CD promotion from Dev to Prod using Fabric, Azure DevOps and/or GitHub.
- Exceptional Communication: Strong verbal, written, and presentation skills.
- Versatile Experience: Working with varying organizations from SMC to Enterprise.
- Agile Methodologies: Commercial Agile experience desirable.
- Certification Preferred: Microsoft certifications advantageous.
- AI Aware: Understanding of Data Science and Generative AI beneficial but not required.
Working at Ascent
We promote a healthy work-life balance with flexible where you work, and wellbeing support including access to Well Being Coaches. We support professional development with training and certification, with regular feedback and review. It is a fun, supportive and modern workplace guided by our values of Empathy, Energy and Audacity. Ascent offers benefits in each country.
Ascent is an equal opportunities employer. We are committed to inclusion and belonging. No person will be treated less favourably on gender, pregnancy, maternity status, marital or civil partnership status, sexual orientation, race, nationality, ethnic origin, age, religion or belief, or disability. If you require reasonable accommodation, please let us know when you apply.
If you have any questions contact our Talent Acquisition team at ta.admin@ascent.io.
For more details about life at Ascent, check out our Life Page. Ascent is now an Acuity Knowledge Partner Company.
Seniority & Employment
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Industries: IT Services and IT Consulting
Senior Data Engineer employer: Ascent
Contact Detail:
Ascent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even just grab a coffee with someone who works at Ascent. Building relationships can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or contributions to open-source, make sure to highlight them. Share your work on platforms like GitHub or LinkedIn to demonstrate your expertise in data engineering.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data engineering. Think about how you can showcase your experience with Azure and DevOps. We want to see how you tackle real-world problems!
✨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, it shows you’re genuinely interested in joining our team at Ascent.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Data Engineer role. Highlight your Azure expertise and any relevant projects you've worked on, as we love to see how you can contribute to our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data engineering and how your background makes you a perfect fit for our team. Don't forget to mention your experience with collaboration and innovation!
Showcase Your Communication Skills: As a Senior Data Engineer, you'll need to communicate complex ideas clearly. In your application, demonstrate your exceptional verbal and written communication skills. We want to see how you can share insights and mentor others!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining our vibrant community at Ascent!
How to prepare for a job interview at Ascent
✨Know Your Data Engineering Stuff
Make sure you brush up on your Azure Data Engineering skills. Be ready to discuss your experience with tools like Azure Synapse Analytics and Databricks. They’ll want to know how you’ve built data pipelines and what best practices you follow.
✨Show Off Your Collaboration Skills
As a Senior Data Engineer, you'll be working closely with various stakeholders. Prepare examples of how you've successfully collaborated in the past. Think about times when you partnered with solution architects or mentored junior team members.
✨Be Ready for Real-World Scenarios
Expect some scenario-based questions where you’ll need to demonstrate your problem-solving skills. They might ask how you would approach a specific data challenge or how you’d optimise a data product. Practice articulating your thought process clearly.
✨Communicate Like a Pro
Exceptional communication is key! Prepare to showcase your verbal and written skills. You might be asked to explain complex data concepts in simple terms, so think about how you can make technical jargon accessible to non-technical stakeholders.
