At a Glance
- Tasks: Lead the design and delivery of innovative Data & Analytics solutions.
- Company: Join a forward-thinking company focused on data-driven decision-making.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Mentorship opportunities and a supportive team environment await you.
- Why this job: Make an impact by transforming complex data into actionable insights.
- Qualifications: Strong SQL skills and experience with cloud platforms like Snowflake.
The predicted salary is between 38000 - 55000 £ per year.
Salary: £38,000 - 55,000 per year
Requirements
- Strong understanding of data warehousing principles, data modelling, and ETL/ELT patterns.
- Experience developing and maintaining complex data models.
- Advanced SQL skills, including query optimisation and performance tuning.
- Hands-on experience with cloud data platforms such as Snowflake and Microsoft Fabric.
- Ability to extract meaningful insights from complex and diverse data sets.
- Ability to work in a hybrid arrangement, based 3 days a week at our Runcorn site.
- Experience supporting technical, cyber security, and regulatory standards across data assets.
Responsibilities
- Provide technical leadership for the design and delivery of Data & Analytics solutions aligned to business priorities and industry best practice.
- Contribute to the definition and evolution of our Data & Analytics strategy, informed by emerging technology trends and hands-on delivery experience.
- Lead by example through hands-on development of high-quality, sustainable solutions using cloud data platforms such as Snowflake and Microsoft Fabric.
- Collaborate closely with business stakeholders to understand processes and challenges and translate them into effective data and analytics solutions.
- Design, develop, and maintain robust data models, pipelines, and analytics products using industry-standard tools and practices.
- Own the end-to-end project lifecycle, including research, solution design, documentation, configuration, testing, implementation, go-live, and end-user training.
- Mentor and support developers within the team, promoting high standards of engineering, documentation, and professional conduct.
- Ensure all data assets conform to technical, cyber security, and regulatory standards while meeting the needs of multiple business units.
- Enable the business to make confident, data-driven decisions through reliable analytics delivery.
Technologies
- Cloud data platforms (Snowflake, Microsoft Fabric)
- ETL/ELT pipelines
- SQL
- Cyber security & regulatory compliance
This is a permanent, hybrid role based in our Runcorn office, with three days a week on site. Parking is available and commuting is easy from Liverpool, Cheshire, and South Manchester.
Senior Data & Analytics Developer in Runcorn employer: Sivara GmbH
Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture where your contributions directly impact business success. With a strong focus on employee growth, we provide opportunities for professional development and mentorship, ensuring you thrive in your role as a Senior Data & Analytics Developer. Our Runcorn location boasts easy commuting options and a supportive hybrid work environment, making it an ideal place to advance your career while enjoying a balanced lifestyle.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data & Analytics Developer in Runcorn
✨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!
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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 Sivara GmbH.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data & Analytics Developer 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 Senior Data & Analytics Developer in Runcorn
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.
