At a Glance
- Tasks: Design and build reliable data pipelines for analytics and reporting.
- Company: Join a high-performing team in Newcastle with a focus on impactful data solutions.
- Benefits: Hybrid working, 25 days holiday, extensive benefits, and continuous training.
- Other info: Collaborative environment with opportunities for career progression.
- Why this job: Work on large-scale data platforms that truly make a difference.
- Qualifications: Experience in Data Engineering, strong Java or Python skills, and cloud platform familiarity.
The predicted salary is between 37000 - 68500 £ per year.
Salary: £37,000 - 68,500 per year
Requirements
- Experience working in a Data Engineering role within a cloud or data-driven environment
- Strong programming skills in Java or Python, with exposure to modern data tools
- Comfortable working with cloud platforms (AWS preferred)
- Familiar with CI/CD, version control and engineering best practices
- Eligible for SC clearance (5 years UK residency)
Responsibilities
- Designing and building reliable data pipelines to support analytics and reporting
- Working with streaming and batch data from multiple sources in cloud environments
- Collaborating with engineers, analysts and product teams to deliver scalable data solutions
- Supporting good engineering practice through testing, automation and code reviews
- Contributing to Agile delivery through active teamwork and continuous improvement
Technologies
- AWS
- CI/CD
- Cloud
- Java
- Python
We are hiring a Data Engineer to join our high-performing team in Newcastle, where you will have the opportunity to work on large-scale data platforms that make a difference. We offer a salary ranging from £40,000 to £55,000, hybrid working options, 25 days of holiday per annum, an extensive benefits package, and continuous training for career progression.
Data Engineer - North Walbottle employer: Sivara GmbH
Join our dynamic team in North Walbottle as a Data Engineer, where you'll be part of a collaborative work culture that values innovation and continuous improvement. We offer competitive salaries, hybrid working options, and 25 days of holiday, alongside extensive training opportunities to support your career growth in a thriving data-driven environment. Experience the unique advantage of working on impactful projects that contribute to meaningful analytics and reporting solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - North Walbottle
✨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 Data Engineer - North Walbottle 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 Data Engineer - North Walbottle 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 Data Engineer - North Walbottle
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.
