At a Glance
- Tasks: Lead and innovate in data engineering, shaping our data platform and mentoring a talented team.
- Company: Join Places for People, the UK's leading social enterprise focused on community and inclusivity.
- Benefits: Enjoy competitive salary, generous leave, healthcare cashback, and flexible working options.
- Other info: Be part of a dynamic team with excellent career growth opportunities and a supportive culture.
- Why this job: Make a real impact on our cutting-edge Data Mesh platform and drive innovation.
- Qualifications: Proven experience in data engineering, strong SQL and Python skills, and leadership abilities.
The predicted salary is between 44000 - 84000 £ per year.
Salary: £44,000 - 84,000 per year
Requirements
- Proven track record in Data Engineering, ideally in a Lead or Principal Engineer role.
- Experience working with cloud data platforms, particularly Google Cloud Platform.
- Strong understanding of Data Mesh principles; direct experience is beneficial.
- Technical mentoring and coaching skills.
- Extensive experience with Data Lake and Data Warehouse solutions.
- Strong proficiency in SQL and Python.
- In-depth knowledge of query optimisation techniques and tuning complex queries.
- Strong understanding of data governance, including data dictionaries, MDM, lineage, data legislation, and PII handling.
- Excellent communication skills and ability to work collaboratively with cross-functional teams.
- Experience working in Agile, Scrum, and SDLC environments.
- Hands-on experience with GCP tools such as BigQuery, DataFlow, Data Fusion, DataStream, Cloud Functions, DataProc, and Airflow/Composer.
- Strong understanding of distributed systems, cloud platforms, and modern data stacks.
- Experience leading complex data solutions through design, build, and deployment.
- Experience driving the implementation and adoption of CI/CD.
- Self-motivated, with strong leadership qualities and the ability to drive innovation.
- Ability to formulate plans to deliver a target state and work closely with managers and engineers to deliver that vision.
Responsibilities
- Provide technical leadership across product domains.
- Define architecture and design for our data platform and data mesh.
- Mentor and build the capability of our data engineering team.
- Enable cross-domain interoperability.
- Support governance and compliance enablement.
- Contribute innovation and strategic influence.
- Ensure our data processes on the platform are robust, performant, and compliant.
- Oversee data ingestion, data quality and integrity, transformation, security, encryption, batch management, monitoring, alerting, and cost control.
- Help design and build our Data Mesh, including data modelling and processing from raw through semantic layers.
- Identify opportunities for automation and process improvement.
- Coach and mentor data engineers.
- Set coding standards and best practices.
- Implement and document data integrity and quality checks.
- Optimise queries.
- Facilitate data engineering collaboration across the team.
- Work closely with our Principal Data Platform Engineer and Data Domain Architect to ensure our platform and pipeline design is optimised and reliable.
- Document our approach and explain solutions to both engineers and non-technical business users.
- Participate in the full development lifecycle of data products.
- Direct the work of other data engineers in the design, build, and deployment of complex data solutions.
Technologies
- Airflow
- Architect
- BigQuery
- CI/CD
- Cloud Composer
- Data Warehouse
- GCP Support
- Python
- SQL
- Security
- DDD Flow
We are Places for People, the UK's leading social enterprise, and we hire people, not numbers. We are committed to building inclusive, thriving communities for our customers and employees, and we value people who do the right thing, are enthusiastic, motivated to grow, believe in community spirit, are respectful, and enjoy their work. Our Data and Platform Engineering team forms the foundation of our Data Office function, designing, building, and maintaining our data platform as we continue our transition from on-premise to Google Cloud and develop a leading-edge Data Mesh platform. This is an exciting time to join a growing business function where you can make your mark on the architecture of our platform and the development of our data engineering capability. We offer a competitive salary with yearly reviews, pension matched up to 7%, 35 days annual leave with buy/sell options, healthcare cashback up to £500 per year, a 2% bonus scheme, training and development, and a range of discounts and perks. We also support flexible working options and a supportive, accessible recruitment process, including reasonable adjustments and guaranteed interviews for eligible candidates.
Principal Data Engineer in London employer: Sivara GmbH
At Places for People, we pride ourselves on being a leading social enterprise that values our employees as individuals, not just numbers. Our inclusive work culture fosters collaboration and innovation, providing ample opportunities for professional growth and development within our Data and Platform Engineering team. With competitive salaries, generous benefits, and a commitment to flexible working arrangements, we create an environment where you can thrive while making a meaningful impact in the community.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Engineer in London
✨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 Principal 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 Principal 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 Principal Data Engineer in London
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.
