At a Glance
- Tasks: Lead the development of data engineering solutions and optimise data flows.
- Company: Join HM Land Registry, transforming digital systems for property ownership.
- Benefits: Salary up to £60,800, 29% pension contribution, and flexible hybrid working.
- Other info: Opportunity to guide junior team members and contribute to a vibrant data community.
- Why this job: Make a real impact on data capabilities that support public services.
- Qualifications: Experience with analytics engines, cloud data stacks, and strong communication skills.
The predicted salary is between 60000 - 60000 £ per year.
Salary: £60,000 - £60,800 per year
Requirements:
- Experience with large-scale analytics engines (e.g., Spark/PySpark) and scripting languages such as Python or Scala.
- Hands-on use of cloud data stacks (e.g., SageMaker Notebooks, S3, Glue, Athena) and modern storage formats or frameworks (e.g., Parquet, Delta Lake, Fabric).
- Experience with DevOps/DataOps tooling and practices (e.g., Terraform) and testing data pipelines, including end-to-end, data quality, monitoring, unit and contract testing.
- Experience managing the full data lifecycle, including development, analysis, modelling, integration and metadata management.
- Ability to communicate clearly with technical and non-technical stakeholders, leading discussions in multidisciplinary teams and managing differing viewpoints.
- Experience profiling data, analysing source systems, and creating data models that suit different organisational needs.
- Experience in leadership is desirable.
- Familiarity with IBM DB2/QREP BMC Control-M and Talend Data Integration is considered a plus.
Responsibilities:
- Identify opportunities to reuse and optimise data flows, including building streaming systems, managing databases, and improving code performance.
- Lead the development and maintenance of data engineering solutions, advising teams as a subject matter expert and ensuring alignment with HMLR standards and approved technologies.
- Collaborate with senior colleagues to understand where data engineering adds value, supporting strategic and operational decision-making.
- Support and guide junior team members, contribute to the data engineering community, and advocate for data quality, maintainability, and reusable components.
- Continuously improve data systems and maintain awareness of best practice and emerging approaches.
We are HM Land Registry (HMLR), undertaking one of the largest transformation programmes in government to modernise the digital systems supporting over £7 trillion of property ownership. As a Senior Data Engineer, you will help establish a new data engineering capability, contributing to the development of reliable data pipelines and products that improve data access, integrity, and value across our organisation. We offer a salary up to £60,800, a 29% employer pension contribution, and full Civil Service benefits, along with flexible, hybrid working options from Plymouth, Croydon, or Coventry. Join us to play a crucial role in developing the data capabilities that support property ownership and public services across England and Wales.
Senior Data Engineer in Plymouth employer: Sivara GmbH
At HM Land Registry, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. With a strong commitment to employee growth, we provide extensive training opportunities and support for career advancement, all while enjoying the benefits of flexible, hybrid working arrangements from our vibrant locations in Plymouth, Croydon, or Coventry. Join us to be part of a transformative journey that not only enhances your professional skills but also contributes to vital public services across England and Wales.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Plymouth
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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.
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We think you need these skills to ace Senior Data Engineer in Plymouth
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!
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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!
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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.
