At a Glance
- Tasks: Design and build scalable data pipelines using Google Cloud Platform.
- Company: Join a forward-thinking company driving data innovation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on quality and reliability.
- Why this job: Shape the future of data solutions and work with cutting-edge technologies.
- Qualifications: Experience with GCP, Python, SQL, and strong problem-solving skills.
The predicted salary is between 60000 - 80000 £ per year.
Salary: £? - ? per year
Requirements:
- Strong hands‑on experience with Google Cloud Platform (GCP), Python, and Scala
- Strong experience with SQL
- Solid background in data modelling and ETL/ELT pipelines
- Experience building enterprise‑grade data solutions
- Hands‑on experience with GCP services such as BigQuery, Dataflow, Pub/Sub, Composer, and Cloud Run or App Engine
- Experience with CI/CD, automated testing, and infrastructure as code
- Experience implementing data quality frameworks, observability tooling, and monitoring solutions
- Proven track record delivering production‑grade data pipelines
- Deep expertise across modern cloud data platforms
- Strong problem‑solving mindset and willingness to learn
Preferred:
- Experience building reusable pipeline frameworks for large, multi‑domain platforms
- Delivery within enterprise data transformation programmes with strong SLAs
- Exposure to AI‑enabled data pipelines such as anomaly detection and intelligent monitoring
- Experience with data quality at scale
- Understanding of MLOps or deploying ML models into production
Responsibilities:
- We design and build scalable, reusable data pipeline templates across multiple data domains
- We standardise ingestion and transformation using configuration‑driven frameworks
- We embed data quality checks by default, including schema validation, completeness, freshness, thresholds, and alerting
- We improve pipeline resilience, monitoring, observability, and recovery mechanisms
- We integrate AI/ML capabilities where appropriate, such as anomaly detection and intelligent monitoring
- We support delivery of our wider Data Strategy programme, improving consistency and data quality
- We ensure pipelines are production‑ready, documented, and suitable for BAU handover
- We collaborate closely with Data Product, Analytics Engineering, and Data Science teams
Technologies:
- AI
- BigQuery
- CI/CD
- Cloud Composer
- ETL
- GCP Support
- Python
- SQL
- Scala
We are delivering a large‑scale Data Strategy programme and are looking for a skilled Data Engineer to help shape the next generation of our data platform. This is an Inside IR35 opportunity for someone who combines strong technical expertise with a collaborative approach and enjoys working in complex, enterprise‑scale environments with high standards of quality and reliability. We focus on building scalable, resilient, and reusable data pipelines on Google Cloud Platform to enable faster and more reliable data delivery across multiple product teams.
Data Engineer employer: Sivara GmbH
As a leading player in the data engineering space, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel. Our commitment to professional growth is evident through continuous learning opportunities and exposure to cutting-edge technologies like Google Cloud Platform, ensuring that our team members are always at the forefront of industry advancements. Located in a vibrant area, we offer a dynamic environment where creativity thrives, making us an exceptional employer for those seeking meaningful and rewarding careers in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Data 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 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
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.
