At a Glance
- Tasks: Design and maintain modern data platforms to unlock data value for impactful decisions.
- Company: Join Jacobs, a leader in solving critical global challenges with innovative solutions.
- Benefits: Flexible working, competitive salary, development opportunities, and a supportive culture.
- Other info: Inclusive environment with clear pathways for career growth and mentorship.
- Why this job: Make a real difference by working on projects that support vital services across the UK.
- Qualifications: Experience in data engineering, cloud platforms, and strong collaboration skills.
The predicted salary is between 59400 - 72600 £ per year.
At Jacobs, we're challenging today to reinvent tomorrow by solving the world's most critical problems for thriving cities, resilient environments, mission-critical outcomes, operational advancement, scientific discovery and cutting-edge manufacturing, turning abstract ideas into realities that transform the world for good.
Your impact
This is a great time to join our Data & Digital team as we continue to grow our data engineering capability across complex and impactful client environments.
You'll have the opportunity to design, build and maintain modern data platforms that help organisations unlock the value of their data and make better-informed decisions.
Working alongside talented engineers, architects, analysts and client stakeholders, you'll contribute to solutions that support critical services across government, defence and highly regulated industries.
Whether your experience has been gained through data engineering, software development, cloud platforms or a combination of technical disciplines, you'll be supported to develop your skills while working on meaningful projects that make a real difference.
If you're passionate about solving problems, collaborating with others and using data to create positive outcomes, we'd love to hear from you.
- Day to Day
- Design, build and maintain reliable ETL/ELT data pipelines using AWS or Azure cloud-native services and established engineering patterns
- Develop and support data integration components and services, including Java-based microservices where required
- Prepare, transform and validate structured and semi-structured data, including formats such as parquet, avro and JSON
- Write efficient SQL to query, validate and optimise data across cloud-based analytical platforms such as Athena, Redshift and Azure Synapse
- Build scalable data processing solutions using Py Spark, Python and cloud-native orchestration services
- Implement data quality checks, validation processes, monitoring and logging to ensure trusted and reliable data delivery
- Support the performance tuning and optimisation of data pipelines, SQL workloads and integration services
- Work with AWS services such as S3, Glue, Lambda, Athena and Step Functions, or Azure equivalents including Data Lake Storage Gen2, Data Factory, Synapse, Azure Functions and Logic Apps
- Contribute to documentation, runbooks, data dictionaries and reusable engineering assets that support delivery teams
- Collaborate with data architects, analysts, software engineers and client stakeholders to deliver high-quality solutions
- Support Dev Ops ways of working through source control, automated testing and CI/CD practices
- Communicate progress, risks and technical decisions effectively with both technical and non-technical stakeholders
- What's In It For You
- Work on impactful data engineering projects that support important services and organisations across the UK
- Build and enhance modern cloud-based data platforms using AWS and Azure technologies
- Gain hands-on experience with a wide range of data engineering, integration and analytics challenges
- Collaborate with experienced engineers, architects and data specialists in supportive, multidisciplinary teams
- Develop expertise across cloud-native data services, Py Spark, SQL and modern engineering practices
- Access mentoring, knowledge sharing and development opportunities to help you grow your career
- Contribute to solutions that deliver measurable value and meaningful outcomes for clients
- Progress through clear technical and leadership development pathways as your experience grows
Benefits
- A global network of expertise and opportunity
- A culture founded on safety, integrity, inclusion and belonging
- Flexible working arrangements that support your well-being and potential
- Investment in your development, including certifications, learning time and access to mentors
- Opportunities to contribute to communities of practice and internal technical initiatives
- Exposure to diverse projects across multiple industries and sectors
- Competitive benefits package including pension, holiday allowance and additional perks
- An inclusive environment where diverse perspectives, backgrounds and experiences are valued and encouraged
- #Digital UKI
- Here’s what you’ll need
- AWS Glue, Lambda, Step Functions or Azure Data Factory, Synapse Pipelines, Azure Functions and Logic Apps
- Py Spark
- SQL (Athena, Redshift, Azure Synapse SQL)
- AWS S3 or Azure Data Lake Storage Gen2
- Python and/or Java
- ETL/ELT data pipeline development
- Data quality, validation and monitoring
- Git, CI/CD and Agile delivery practices
- Experience being most Senior of Lead within a project
- Eligibility for SC Clearance
Joining Jacobs not only connects you locally but globally.
Our values stand on a foundation of safety, integrity, inclusion and belonging.
We put people at the heart of our business, and we truly believe that by supporting one another through our culture of caring, we all succeed.
We value positive mental health and a sense of belonging for all employees.
With safety and flexibility always top of mind, we've gone beyond traditional ways of working so you have the support, means and space to maximize your potential.
You'll uncover flexible working arrangements, benefits, and opportunities, from well-being benefits to our global giving and volunteering program, to exploring new and inventive ways to help our clients make the world a better place.
No matter what drives you, you'll discover how you can cultivate, nurture, and achieve your goals - all at a single global company.
Find out more about life at Jacobs.
We aim to embed inclusion and belonging in everything we do.
We know that if we are inclusive, we're more connected and creative.
We accept people for who they are, and we champion the richness of different perspectives, lived experiences and backgrounds in the workplace, as a source of learning and innovation.
We are committed to building vibrant communities within Jacobs, including through our Jacobs Employee Networks, Communities of Practice and our Find Your Community initiatives, allowing every employee to find connection, purpose, and belonging.
Find out more about our Jacobs Employee Networks here.
Jacobs partners with VERCIDA to help us attract and retain talent from a wide range of backgrounds.
For greater online accessibility please visit https//www. vercida. com/uk/employers/jacobs to view and access our roles.
As a disability confident employer, we will interview disabled candidates who best meet the criteria.
We welcome applications from candidates who are seeking flexible working and from those who may not meet all the listed requirements for a role.
We value collaboration and believe that in-person interactions are crucial for both our culture and client delivery.
We empower employees with our hybrid working policy, allowing them to split their work week between Jacobs offices/projects and remote locations enabling them to deliver their best work.
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Senior Data Engineer in Glasgow employer: Jacobs
At Jacobs, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous professional development opportunities and mentorship programmes, ensuring that our team members thrive in their careers while making a meaningful impact on global water quality initiatives. Located in a vibrant environment, we provide a unique chance to engage with high-profile projects that not only challenge the status quo but also contribute to sustainable solutions for communities and ecosystems.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Glasgow
✨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 Jacobs!
✨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 Jacobs.
✨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 Jacobs.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer at Jacobs, 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 in Glasgow
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 Jacobs, 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 Jacobs. 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 Jacobs
✨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 Jacobs!
✨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.
