At a Glance
- Tasks: Design and optimise data platforms using Microsoft Azure and build scalable data pipelines.
- Company: Join Ascent, now part of Acuity Analytics, a leader in digital transformation.
- Benefits: Competitive salary, career growth, and a collaborative work environment.
- Other info: Work in a dynamic team with opportunities for professional development.
- Why this job: Shape the future with cutting-edge technology and impactful data solutions.
- Qualifications: 5+ years as a Data Engineer with strong skills in PySpark and SQL.
The predicted salary is between 63000 - 77000 £ per year.
Please note: for this role, you must be based in UK, Malta, Bulgaria, or Portugal.
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
Ascent has recently been acquired by Acuity Analytics. This is both a significant milestone for us and a tremendous opportunity for you. Acuity Analytics is a business with a strong global reputation, an impressive client base and ambitious growth plans. We deliver deep insights and domain-led digital transformation to high-growth and heavily regulated organisations. To our customers, we bring a partnership that provides the talent, technology and capability to enhance performance and operational efficiency.
About the Role
We’re looking for a Senior Data Engineer to design, build and optimise modern data platforms using the Microsoft Azure ecosystem. You’ll develop scalable data pipelines, transform complex datasets, and help organisations unlock the value of their data through Microsoft Fabric, Databricks and Azure services. Working within a collaborative engineering team, you’ll contribute to cloud-native data solutions, ensuring performance, scalability and best practices across enterprise data platforms.
Responsibilities
- Design, develop and maintain scalable data pipelines using Microsoft Fabric, Azure Databricks and Azure Synapse.
- Develop ETL/ELT solutions using PySpark and SQL.
- Build and optimise data integration solutions using Azure Data Factory and Microsoft Fabric.
- Design scalable lakehouse and data warehouse solutions.
- Optimise data performance, reliability and quality across cloud platforms.
- Collaborate with data scientists, analysts and software engineers to deliver business solutions.
- Implement data governance, security and best practices.
- Participate in code reviews and contribute to engineering standards.
- Troubleshoot production issues and continuously improve platform performance.
Requirements
- Strong commercial experience as a Data Engineer (5+ years).
- Strong experience with PySpark.
- Advanced SQL skills.
- Experience with Microsoft Fabric, Azure Databricks and/or Azure Synapse Analytics.
- Experience building data pipelines using Azure Data Factory (ADF), Synapse Pipelines or Microsoft Fabric Data Factory.
- Experience working with cloud-based data platforms.
- Excellent problem-solving and communication skills.
Nice to Have
- Power BI
- Node.js
- LLM / Generative AI experience
- Data Science experience
Certifications (Preferred)
- The following certifications are advantageous but not essential: Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
- Microsoft Certified: Fabric Data Engineer Associate (DP-700)
People are at the Heart of our Business. By investing in people, we achieve exceptional results for our clients and create new opportunities for our teams to thrive.
Senior Data Engineer (Microsoft Fabric & Azure Data Platform) in London employer: Acuity Analytics
At Acuity Analytics, we pride ourselves on being an exceptional employer that values innovation, collaboration, and personal growth. As a Principal Cloud & Platform Engineer, you will be part of a dynamic team that not only tackles complex challenges but also fosters a supportive work culture where your contributions are recognised and your professional development is prioritised. With opportunities to mentor future leaders and influence engineering strategy, you'll find a rewarding environment that encourages continuous improvement and embraces cutting-edge technologies.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer (Microsoft Fabric & Azure Data Platform) in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Acuity Analytics!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Engineer (Microsoft Fabric & Azure Data Platform) at Acuity Analytics.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Acuity Analytics.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer (Microsoft Fabric & Azure Data Platform) at Acuity Analytics, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Engineer (Microsoft Fabric & Azure Data Platform) in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Acuity Analytics, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Acuity Analytics. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Acuity Analytics
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Acuity Analytics!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.