At a Glance
- Tasks: Design and optimise data pipelines, enhance data quality, and support international growth.
- Company: A leading data services organisation focused on high-quality analytics and intelligence solutions.
- Benefits: Hybrid working, ownership of key projects, and exposure to international data initiatives.
- Other info: Dynamic environment with clear opportunities for career growth and influence.
- Why this job: Join a collaborative team and shape the future of data technology.
- Qualifications: Strong SQL skills, experience with Azure technologies, and expertise in Power BI.
The predicted salary is between 54000 - 66000 £ per year.
This is an excellent opportunity for a Senior Analytics Engineer to join a growing, data-driven organisation at a key stage of its development.
You'll play a central role in modernising data platforms, improving data accessibility, and supporting international growth initiatives while working with a modern Microsoft technology stack.
The Company
They are a specialist information and data services organisation that helps businesses make informed decisions through high-quality data, analytics, and intelligence solutions.
With a growing international presence and continued investment in technology, they are expanding their data capabilities to support new products, markets, and customer demands.
The business operates a cloud-first data environment and is committed to building scalable, reliable, and innovative data solutions.
This role sits within a collaborative data function, working closely with engineering, analytics, and data acquisition teams.
The Role
As a Senior Analytics Engineer, you will take ownership of a key area of the data platform and play an important role in enhancing data quality, performance, and scalability.
Key responsibilities include
- Designing, building, and optimising ELT pipelines across cloud-based data platforms.
- Developing and maintaining data solutions using Azure, Azure Data Factory, Microsoft Fabric, and SQL.
- Supporting data migration and platform modernisation initiatives.
- Improving data processing efficiency and reducing data latency across multiple regions.
- Working with both modern and legacy data models to deliver scalable solutions.
- Developing and maintaining Power BI reporting and analytics capabilities.
- Implementing best practices around data quality, documentation, governance, and maintainability.
- Collaborating with technical and non-technical stakeholders to translate business requirements into robust data solutions.
- Contributing to architectural decisions and continuous improvement across the data platform.
- Your Skills & Experience
- To be successful in this Senior Analytics Engineer role, you should have:
- Strong commercial expertise in SQL, which is a core requirement for the position.
- Experience working with Azure Data Factory (ADF), Microsoft Fabric, and Azure cloud technologies.
- Strong knowledge of ELT pipeline development, optimisation, and data integration.
- Experience supporting data migration projects and modernising existing data environments.
- Expertise in Power BI and data visualisation.
- Experience working with legacy data models while delivering improvements and modernisation.
- Knowledge of Agile or Scrum delivery environments.
- The ability to work independently, take ownership of projects, and communicate effectively with a range of stakeholders.
- Python for automation or data scraping.
- Azure Dev Ops, source control, and branching strategies.
- Data warehousing, datamarts, and reporting databases.
- Exposure to Data Science workflows and concepts.
- What They Offer
- Hybrid working with 2 days per week in the Oxford office.
- Opportunity to own and shape a key area of the data platform.
- Exposure to large-scale international data initiatives.
- A collaborative environment with strong investment in data and technology.
- Clear opportunities to influence technical strategy and contribute to platform growth.
- #J-18808-Ljbffr
Senior Analytics Engineer - Fabric in Oxford employer: Harnham
Join a leading UK-based media organisation at the forefront of digital transformation, where your role as Director of Streaming Product and Growth will be pivotal in shaping the future of their subscription services. With a strong emphasis on innovation and a collaborative work culture, you'll have access to significant growth opportunities, competitive salary packages, and a performance-based bonus structure, all while working in a dynamic environment that values data-driven decision making and customer-centric strategies.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Engineer - Fabric in Oxford
✨Get Involved in Data Science Meetups
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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 Harnham.
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We think you need these skills to ace Senior Analytics Engineer - Fabric in Oxford
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 Harnham, 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 Harnham. 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 Harnham
✨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 Harnham!
✨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.
