At a Glance
- Tasks: Design and implement secure data integration solutions while collaborating with teams.
- Company: Leading consultancy organisation based in Telford, focused on impactful data solutions.
- Benefits: Competitive salary, hybrid working arrangement, and opportunities for professional growth.
- Other info: Mentorship opportunities and a collaborative Agile environment.
- Why this job: Join a dynamic team and make a real impact in the public sector.
- Qualifications: Strong SQL skills, experience with ETL tools, and knowledge of cloud platforms.
The predicted salary is between 55000 - 65000 £ per year.
We are looking for candidates with strong knowledge in data engineering fundamentals and the ability to operate at all stages of the delivery lifecycle. An interest in learning and cross‑skilling is essential.
The essential skills and experience we seek include:
- Strong SQL and hands‑on experience with data modeling.
- Hands‑on experience with ETL/ELT tooling (at least one of Talend, Pentaho DI, Informatica, AWS Glue, or SAS).
- Experience with databases/data platforms, ideally Oracle or Cloudera.
- Knowledge of cloud platforms, preferably AWS.
- Proficiency in programming/scripting languages (e.g., Python, Bash).
- A solid understanding of data engineering fundamentals, including integration, transformation, orchestration, and version control.
- Excellent client‑facing and consultancy skills.
- Experience working in Agile delivery environments.
- A strong drive to share knowledge, mentor, and develop others.
In this pivotal role, you will contribute to data acquisition, preparation, and management projects, helping to modernise services and deliver secure, reliable data products at scale. Your responsibilities will include:
- Designing and implementing robust, secure, and performant data integration solutions (batch and/or near‑real‑time).
- Building, operating, and improving data pipelines (ingestion, transformation, curation) with monitoring, alerting, and SLAs.
- Collaborating with product teams and client stakeholders to refine requirements and align decisions to non‑functional requirements (cost, performance, security).
- Supporting incident resolution and ensuring service continuity.
- Sharing knowledge, mentoring colleagues, and contributing to our engineering communities of practice.
- Actively participating in Agile ceremonies and working cross‑functionally with engineers, analysts, and business teams.
We are a leading consultancy organization based in Telford and are looking to expand our team of Data Engineers to support a specific public sector client. The position offers a hybrid working arrangement. Join us and be a part of a dynamic team dedicated to delivering impactful data solutions!
Data Engineer in Wellington employer: Sivara GmbH
Join our leading consultancy organisation in Telford, where we prioritise employee growth and a collaborative work culture. As a Data Engineer, you will benefit from a hybrid working arrangement, competitive salary, and opportunities to mentor and share knowledge within a dynamic team dedicated to delivering impactful data solutions for the public sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Wellington
✨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 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 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 in Wellington
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.
