At a Glance
- Tasks: Design and develop innovative data solutions for cutting-edge connectivity products.
- Company: Join a dynamic tech firm spun out of McLaren Group, focused on innovation.
- Benefits: Enjoy flexible working, competitive salary, private healthcare, and generous annual leave.
- Other info: Opportunities for career growth and development in a collaborative environment.
- Why this job: Be part of a team that transforms customer experiences with advanced technology.
- Qualifications: Bachelor's degree in a numerate discipline and proficiency in Python required.
The predicted salary is between 63000 - 77000 £ per year.
At Motion Applied – Connected Intelligence (CI), we create cutting edge wireless connectivity solutions that are transforming customer experience across the transport industry. We create solutions that drive efficiency and cost-effectiveness for customers, delivering unrivalled internet connectivity services.
By applying our expertise, we deliver real benefits and pioneer a better future.
Purpose of the Role
You will be one of our key contributors who guide and foster innovation by designing and developing our data solutions architecture for our leading-edge products within CI. You will work collaboratively to solve interesting and challenging problems in a cross functional team with other engineering disciplines including Software Engineers, Platform Engineers, Test Engineers, Site Reliability Engineers and Systems Engineers. The analytics team is missioned to build operational insight and analytics applications for our core connectivity services. In this team you'll have a unique opportunity to have first-hand exposure to the strategy of the company in key cloud and edge device initiatives. You also have opportunities to go through the whole lifecycle of products and services, participating in each phase and have the whole picture of what you are working on.
As an engineer who is passionate about technology, you will use the most effective and applicable technologies to create robust and scalable software that runs in the cloud or on the edge. You will work on a variety of challenges towards product or solution deliverables, often highly complex and based around mission critical systems that combines capabilities like data streaming, aggregation, asset management, monitoring, reporting and visualisation.
Principal Accountabilities
As a Senior Data Solutions Engineer who is passionate about technology, you will use the most effective and applicable technologies to design, create and improve the CI Data Platform offering and integrate it with operational products. You will learn how to leverage existing open-source software to extend our capabilities, integrating and tailoring software to suit customers’ needs. You will champion architectural and technical good practice across the analytics and software development teams, from initiation through the whole product lifecycle.
Location
This role is based at our head office in central Woking. The role is included in our hybrid working policy with the expectation of a minimum of two days a week in the office, which should be co-ordinated with other members of the Engineering team.
Basic Qualifications
- Bachelor's degree in a numerate discipline: Maths, Physics, Computer Science, Statistics, Engineering.
- Experience in solving engineering or real world problems using data solutions.
- Demonstrable interest in the fields of data analytics and software.
- Proficiency in Python programming language and common data science packages.
- Experience with data engineering tools (e.g. Apache Spark, AWS Glue, Kinesis, Snowflake, Apache Airflow).
- Experience in building data pipelines and data streaming applications.
- Experience with tools to support the software and analytics development workflow (e.g. data provenance, experiment/pipeline management, git, CI/CD).
- Interest and ability to learn other coding languages as needed.
- Good understanding of agile or lean development practices.
- Ability to write and speak in English fluently.
Desirable & Development Areas
- Demonstrable technical specialism in one of the following: Data Science, Machine Learning, Optimisation, Operations Research, Statistics, AI Engineering.
- Leveraging latest AI and Agentic tooling to assist in all stages of the development lifecycle.
- Experience in building data storage solutions.
- Familiarity with Infrastructure as Code (Terraform preferred).
- Understanding of containerisation (Docker) and container orchestration (Kubernetes).
- Demonstrable experience of writing clean, maintainable code.
- Experience with AWS or other cloud computing providers.
- Experience with signal processing and time-series analysis.
What we can offer you
In return for everything you bring to the table, we can ensure an exciting, challenging role in a dynamic business surrounded by some of the best people in their respective fields. At Motion Applied we firmly believe it’s the relationships and friendships we create while working that make us special. We’re also aware that the world is changing and we are part of that change. We all want and need different things from our work and home lives, so, if you have commitments outside of work, we’re open to talking through flexible working options that work for you and us.
- Annual leave (25 days + bank holidays, pro-rated for part time colleagues).
- Enhanced Company Maternity, Paternity and Adoption leave and pay.
- Flexible working policies, including Hybrid Working.
- Life assurance to the value of 4 times base salary.
- Opportunity to join the Motion Applied Pension Plan.
- Company funded individual private healthcare with the opportunity to extend to partner or spouse and/or dependents at a discounted rate.
- Ride-to-work with Evans Cycles – take advantage of the Government’s Cycle-to-Work scheme which offers savings of up to 42% on the cost of a new bike, cycling accessories and components.
- Electric car scheme – opportunity to drive a brand-new car in a more affordable way through this salary sacrifice scheme. Employees are eligible to join the scheme after successful completion of their probationary period.
Who we are
Motion Applied are a medium-sized tech firm spun out of McLaren Group. We’re looking for people who will thrive in a non-hierarchical, growth-orientated company, self-starters who are flexible and somewhat entrepreneurial in their approach. Motion Applied are committed to Diversity, Equality and Inclusion (DEI) and promote DEI in all we do.
Senior Data Solutions Engineer in Woking employer: Motion Applied
At Motion Applied, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our commitment to employee growth is evident through our flexible working policies, comprehensive benefits including enhanced parental leave, and opportunities for professional development in a dynamic tech environment. Located in central Woking, we offer a vibrant workplace where relationships thrive, and employees are empowered to contribute to cutting-edge solutions in the transport industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Solutions Engineer in Woking
✨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 Motion Applied!
✨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 Solutions Engineer at Motion Applied.
✨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 Motion Applied.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Solutions Engineer at Motion Applied, 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 Solutions Engineer in Woking
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 Motion Applied, 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 Motion Applied. 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 Motion Applied
✨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 Motion Applied!
✨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.