At a Glance
- Tasks: Design and develop data architecture and pipelines to drive data-driven decisions.
- Company: Join Ontic, a leading innovator in aerospace and defence manufacturing.
- Benefits: Enjoy up to 29 days annual leave, paid volunteering, and a supportive work culture.
- Other info: Work in a collaborative environment that values innovation and personal growth.
- Why this job: Be part of a dynamic team shaping the future of data in a rapidly growing company.
- Qualifications: Strong experience in data engineering, SQL, and familiarity with Snowflake and Power BI.
The predicted salary is between 45000 - 55000 £ per year.
Ontic, a leading licensor and manufacturer of complex engineering parts for the global aerospace and defence industries, is recruiting for a Senior Data Engineer to join our Global Data Team. You will support us in developing the data architecture, platforms, and insights that enable better, data-driven decisions across our global business. This requires an on-site presence at one of our Gloucestershire sites for 2 - 3 days per week and occasional travel between UK and USA sites.
Data is one of Ontic's biggest assets, and we're looking for someone who is passionate about data and excited by the opportunity to help develop our data platform through a significant period of growth. Reporting to the Data Architecture Manager, you'll play a key role within our geographically dispersed Global Data Team, designing, developing, and maintaining our data architecture and pipelines. You'll work across multiple systems to analyse data, develop data models, identify gaps, and recommend improvements, with a particular focus on Snowflake, dbt, Fivetran, GitHub, and Power BI.
This is much more than a purely technical role. You'll work closely with stakeholders across Ontic to understand business challenges and translate them into data requirements, help shape our data engineering and governance standards, and turn complex data into meaningful insights that support decision-making. You'll also act as a geographical data leader, contribute to our wider data strategy, and help us explore new technologies and innovations as our data capability continues to develop.
To be successful in this role, you'll bring strong commercial experience of data warehousing, data modelling, and data engineering, ideally including experience administering and working within Snowflake. You'll have strong SQL skills and experience of dbt, building data models and flows using dimensional modelling techniques, and developing and maintaining data pipelines across multiple data sources. You'll also be comfortable working with BI and analytics tools such as Power BI, with the ability to take complex data and translate it into clear, actionable insights for both technical and non-technical stakeholders. You'll be someone who can influence, communicate effectively across different levels of an organisation, and work proactively and independently while balancing multiple priorities.
An awareness of emerging AI tools and technologies would be beneficial, particularly tools such as OpenAI Codex, Snowflake Cortex, and Snowflake Intelligence, as would previous experience within aerospace, engineering, or manufacturing.
At Ontic, we care about your financial, physical, and mental wellness, so we offer a range of benefits to support this, accompanied by benefits that support work/life balance. Our benefits package highlights include:
- Up to 29 days annual leave plus Bank Holidays
- 10 hours paid volunteering time
- Annual goal share bonus scheme for all employees
- 24/7 Employee Assistance Program (EAP)
- Discounts and offers from a range of retailers
We have been recognised internally and externally for being a great place to work. We were ranked #9 in Best Companies’ Q3 leaderboard for Best Manufacturing Company based on our employee feedback. 72.5% of employees who took part in our 2023 employee satisfaction survey said they are proud to work at Ontic. No day is the same at Ontic; we have doubled in size over the last couple of years and are still in rapid growth. We attribute our success to empowering colleagues to create opportunities, fostering an environment of autonomy where we ask for forgiveness, not permission.
Our values are intrinsic to everything we do:
- We share a common sense - we’re a global family of specialists with a shared passion for precision.
- We have the freedom to choose - we’re challengers and innovators with the freedom to think differently and challenge the status quo.
- We create the opportunity - we’re change-makers with a clear direction and can-do spirit.
We are a fast-paced business with ambitious growth plans; if you are dedicated, enthusiastic, and always seeking ways to improve, you'll enjoy a career with us!
Data Engineer in Tewkesbury employer: ontic
At Ontic, we pride ourselves on being an exceptional employer that fosters a dynamic and inclusive work culture, particularly for our Managing Director role in Europe. Our commitment to employee growth is evident through tailored mentorship and the opportunity to shape our European market presence, while our focus on diversity ensures a rich tapestry of perspectives that drive innovation. With competitive benefits and a collaborative environment, Ontic is the ideal place for those looking to make a meaningful impact in the security technology sector.
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We think this is how you could land Data Engineer in Tewkesbury
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We think you need these skills to ace Data Engineer in Tewkesbury
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 ontic, 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 ontic. 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 ontic
✨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 ontic!
✨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.
