At a Glance
- Tasks: Build and maintain data pipelines using Python and design dimensional data models.
- Company: Fast-growing, purpose-driven organisation focused on data capabilities.
- Benefits: Competitive salary, 10% bonus, hybrid work, and strong career progression.
- Other info: Dynamic role with excellent opportunities for personal and professional growth.
- Why this job: Shape a modern analytics platform and make a real impact in a collaborative environment.
- Qualifications: Strong SQL, Python experience, and knowledge of cloud data platforms.
The predicted salary is between 58000 - 68000 £ per year.
Salary: £58,000 - 68,000 per year
Requirements
- Strong SQL and production-level Python experience
- Experience with cloud data platforms and data modelling tools such as dbt
- Solid understanding of ELT pipelines and data engineering principles
- Strong analytical thinking and problem-solving skills
- Excellent communication and stakeholder management
Responsibilities
- Build and maintain data pipelines using Python across multiple data sources
- Design and develop dimensional data models in a cloud data platform such as Snowflake
- Partner with BI teams to deliver insights via reporting tools
- Optimise performance, reliability, and cost efficiency of the data platform
- Implement best practices in CI/CD, data governance, and quality
- Collaborate with stakeholders across the organisation
Technologies
- CI/CD
- Cloud
- Python
- SQL
- Snowflake
- dbt
We are a fast-growing, purpose‑driven organisation delivering services at scale across the UK. We are investing heavily in our data capability and are looking for an Analytics Engineer to help build and shape a modern, in‑house analytics platform. This is a permanent role offering a salary of £58,000 to £68,000 plus a 10% bonus. The role is hybrid, based in Woking, with 1-2 days a week in the office. We offer the opportunity to build and shape a growing data function, work in a collaborative and fast‑paced environment, and benefit from a strong focus on development and career progression, alongside a competitive benefits package.
Analytics Engineer employer: Sivara GmbH
Join a fast-growing, purpose-driven organisation in Woking as an Analytics Engineer, where you will have the opportunity to shape a modern analytics platform while enjoying a collaborative and dynamic work environment. With a strong emphasis on employee development and career progression, alongside a competitive benefits package, this role offers a unique chance to make a meaningful impact in the data landscape. Experience the flexibility of a hybrid working model, allowing for a balanced work-life integration.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer
✨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 Sivara GmbH!
✨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 Analytics Engineer at Sivara GmbH.
✨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 Sivara GmbH.
✨Apply Directly through Our Website
When you find a suitable opening like Analytics Engineer at Sivara GmbH, 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 Analytics Engineer
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 Sivara GmbH, 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 Sivara GmbH. 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 Sivara GmbH
✨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 Sivara GmbH!
✨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.
