At a Glance
- Tasks: Design and build innovative data solutions using cutting-edge technologies like Databricks and Apache Spark.
- Company: Join Envitia, a top-rated UK tech company transforming data into actionable insights.
- Benefits: Enjoy 25 days annual leave, private healthcare, training opportunities, and flexible work arrangements.
- Other info: Be part of a diverse team committed to innovation and inclusion.
- Why this job: Make a real impact in defence and government sectors while growing your career in data engineering.
- Qualifications: Experience with data pipelines, Lakehouse architectures, and cloud platforms like Azure or AWS.
The predicted salary is between 63000 - 77000 £ per year.
Envitia is a UK-based software and services company that helps organisations unlock the full value of their data to make better, faster decisions.
With over 30 years of experience, we specialise in delivering innovative software products, solutions, and consultancy services that transform complex data challenges into actionable insights.
Our mission is to empower customers across defence, government, and national security sectors to harness the power of data — from geospatial intelligence to advanced analytics and AI integration.
We are proud to be a trusted partner to UK defence and government organisations, delivering technology that drives smarter, data-driven outcomes.
We’re also delighted to have been named one of
The Sunday Times Top 100 Medium-Sized Companies, a recognition of our commitment to innovation, collaboration, and creating an outstanding workplace where people can thrive.
The Role
At Envitia, we're looking for a Senior Data Engineer to help design and deliver cutting-edge data solutions for customers operating in some of the UK's most complex and challenging environments.
Using Databricks, Apache Spark and cloud-native technologies, you'll develop scalable Lakehouse architectures and production-grade data pipelines that enable organisations to trust, share and exploit their data more effectively.
You'll have the opportunity to take technical ownership of high-impact data engineering projects, working alongside talented engineers, architects and data specialists to tackle complex challenges at scale.
Beyond delivering solutions, you'll help shape best practice, mentor team members and influence the future direction of our data engineering capability.
If you're a data engineer who enjoys combining hands-on technical delivery with technical leadership and wants to work on meaningful programmes that make a difference, Envitia offers an exciting opportunity to grow your career while helping customers unlock the power of their data.
Responsibilities
- Design, build and optimise scalable data pipelines using Databricks, Apache Spark, Py Spark and Delta Lake.
- Develop and implement modern Lakehouse architectures, applying Medallion (Bronze, Silver, Gold) design principles to support trusted and reusable data products.
- Build robust ETL and ELT processes that ingest, transform and curate large, complex and diverse datasets.
- Drive best practice in data quality, monitoring, alerting and operational support to ensure reliable and resilient data solutions.
- Optimise platform performance, scalability and cost through effective management of compute, storage and orchestration services.
- Contribute to the design and evolution of enterprise data architectures, standards and engineering patterns across customer programmes.
- Integrate data platforms with cloud-native services, data lakes, event streams, warehouses and other enterprise systems.
- Implement data governance, security and access controls, including Unity Catalog or equivalent technologies, to ensure data remains secure, discoverable and compliant.
- Lead technical delivery across data engineering workstreams, ensuring solutions meet customer requirements, quality standards and delivery timelines.
- Collaborate closely with data scientists, analysts, architects and business stakeholders to deliver end-to-end data solutions that create measurable value.
- Support Dev Ops and CI/CD practices for data engineering, enabling efficient deployment, testing and operational management of data products.
- Stay current with emerging technologies and industry best practice, contributing to the ongoing evolution of Envitia's data engineering capability.
Essential Skills & Experience
- Proven hands-on experience building and supporting production-grade data pipelines using Databricks, Py Spark, Spark SQL and Delta Lake.
- Experience designing and implementing Lakehouse architectures, including Medallion (Bronze, Silver, Gold) data models.
- Expertise in developing scalable ETL/ELT pipelines capable of handling large and complex datasets.
- Understanding of modern cloud data platforms, particularly Azure and/or AWS.
- Experience implementing data governance, security and quality controls, including Unity Catalog or equivalent technologies.
- Strong knowledge of data modelling, data lifecycle management and data engineering best practices.
- Experience optimising data workloads for performance, scalability, reliability and cost efficiency.
- Ability to make sound technical and architectural decisions within complex delivery environments.
- Strong stakeholder engagement and communication skills, with the ability to explain technical concepts to both technical and non-technical audiences.
- Experience leading technical delivery and supporting the successful execution of data engineering projects.
- Security Clearance Requirements
Due to the nature of our work, the successful candidate must be eligible to obtain and maintain SC security clearance.
Location
This role offers flexible and remote working, with travel to our Horsham office approximately two days per month.
What it's like to work at Envitia
At Envitia, we believe that our greatest asset is our people.
We’re committed to fostering a work environment where every employee feels valued, supported, and motivated to excel.
Our comprehensive benefits package is designed to enhance both your professional and personal wellbeing, including:
- Annual Leave: 25 days plus your birthday off, with the ability to buy or sell up to five additional days
- Private Healthcare: Comprehensive coverage with additional options for family members
- Training & Skills Development: Ongoing learning opportunities to help you advance your career
- Fitness Reimbursement: Support for gym memberships or fitness-related expenses
- Life Assurance: Extensive life insurance coverage for peace of mind
- Pension Contribution: Competitive options to help you plan for a secure financial future
- Perkbox Subscription: Discounts on a wide range of products and services
- Flexible Work Arrangements: Designed to support work-life balance and personal commitments
- Internal Reward Schemes: Recognition initiatives to celebrate your contributions and achievements
- Community Engagement & Volunteering: Opportunities to support meaningful causes through company-sponsored programs
- Inclusion at Envitia
At Envitia, we celebrate diversity and are committed to creating an inclusive environment for all employees.
We welcome applicants from all backgrounds and walks of life.
We believe that our strength lies in our differences, and we are dedicated to fostering a workplace where everyone feels valued, respected, and empowered.
We encourage applications from people of all abilities, ages, genders, sexual orientations, races, ethnicities, and religions.
We strive to support a culture of inclusion, accessibility, and work-life balance.
If you require any accommodations during the application or interview process, please let us know.
Senior Data Engineer employer: Envitia
Envitia is an exceptional employer that fosters a collaborative and innovative work culture, particularly for those passionate about making a difference in the public sector. With a strong focus on employee growth, you will have access to continuous learning opportunities and be part of a supportive AI Community of Practice, allowing you to shape impactful solutions while working remotely. The company's commitment to responsible AI ensures that your contributions will not only advance technology but also serve the greater good.
StudySmarter Expert Advice🤫
We think this is how you could land Senior 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 Envitia!
✨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 Senior Data Engineer at Envitia.
✨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 Envitia.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer at Envitia, 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 Senior 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 Envitia, 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 Envitia. 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 Envitia
✨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 Envitia!
✨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.
