At a Glance
- Tasks: Join our team to develop and enhance data infrastructure in the aviation sector.
- Company: Leading organisation in aviation and aerospace, based in Oxford.
- Benefits: Full-time role with competitive salary and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on innovation and collaboration.
- Why this job: Make a real impact by optimising data processes and automating tasks.
- Qualifications: Experience in data engineering and strong programming skills in Python and SQL.
The predicted salary is between 63000 - 77000 £ per year.
- Business Data Engineer
- Oxford, Oxfordshire
- Permanent | Full Time
- Aviation / Aerospace
- An exciting opportunity has arisen for an experienced
Business Data Engineer to join a leading organisation operating within the aviation and aerospace sector at its Oxford operation.
Working within the Business Improvements team, you will play a key role in developing and improving the organisation’s data infrastructure within a highly technical aviation environment.
The role combines data engineering, data architecture, automation and application development , with a particular focus on establishing and maintaining a robust
Single Source of Truth (SSOT) across business applications.
You will work with technologies including
Python, SQLAlchemy, SQL, Skywise and Google App Sheet , developing data solutions that improve business processes, automate manual activities and provide reliable data for reporting and decision-making.
Key Responsibilities
- Design, build and maintain a robust
Single Source of Truth (SSOT) across business applications.
- Develop and maintain scalable data architecture to support operational, reporting and analytical requirements.
- Develop workflows, applications and dashboards using
Skywise, Google App Sheet and associated technologies .
- Build data models and database solutions using
Python, SQL and SQLAlchemy .
- Integrate data from multiple sources while maintaining consistency, accuracy and accessibility.
- Implement validation processes and error-detection mechanisms to maintain high levels of data integrity and quality.
- Optimise data workflows and processing to improve efficiency, reliability and performance.
- Identify opportunities to automate manual processes relating to data collection, reporting and analysis.
- Translate business requirements into effective technical data solutions.
- Work closely with data analysts, technical teams and wider business stakeholders to ensure data solutions meet operational requirements.
- Maintain data architecture standards and ensure solutions remain scalable as business requirements evolve.
- Key Skills & Experience
- Strong commercial experience within data engineering, data architecture or a closely related discipline .
- Experience designing, developing or maintaining a
Single Source of Truth (SSOT) architecture.
- Advanced programming skills in
- Python , with strong experience using
SQLAlchemy for database interaction and data modelling.
- Strong
SQL skills, including relational databases, database design and complex query optimisation.
- Experience with
Google App Sheet, Apps Script, Google Sheets and Google automation tools .
- Knowledge of
Git, PL/SQL, Java Script, HTML and CSS .
- Strong understanding of data analysis methodologies, data modelling and data quality.
- Experience creating dashboards using
Skywise, Google Looker or comparable platforms .
- Experience taking technical concepts through to production, with an understanding of both backend architecture and frontend business applications.
- Ability to understand existing business processes and identify opportunities for improvement and automation through data.
- Strong understanding of business metrics and KPIs and how data infrastructure supports effective decision-making.
- Ability to work with non-technical stakeholders to define requirements and translate business needs into practical technical solutions.
- Strong planning and scope-management skills.
STEM HND or equivalent relevant qualification.
Desirable Experience
- Previous experience within aviation, aerospace, defence, engineering or another highly regulated technical environment .
- Knowledge of airline or MRO (Maintenance, Repair and Overhaul) operations .
- Proven experience implementing centralised
SSOT data architecture .
- Application or software development experience.
- Broader commercial or industrial experience.
- Additional Requirements
- Due to the nature of the position, successful applicants will be required to undergo
- BPSS screening and must be eligible to obtain
Security Check (SC) clearance .
Candidates must also meet applicable
Export Compliance requirements and already possess the legal right to work in the UK.
Visa sponsorship is not available for this position.
INDTECH
DCS Recruitment and all associated companies are committed to creating a working environment where diversity is celebrated and everyone is treated fairly, regardless of gender, gender identity, disability, ethnic origin, religion or belief, sexual orientation, marital or transgender status, age, or nationality
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Business Data Engineer in Oxford employer: DCS Recruitment
As a leading firm in the legal sector, our client offers an exceptional work environment for Commercial Litigation Barristers, characterised by a commitment to high standards of quality and client care. Employees benefit from a culture that values diversity and inclusivity, alongside opportunities for professional growth through collaboration with experienced employment law advisors and senior leadership. Located in a vibrant area, the firm provides a supportive atmosphere where hard work and advocacy skills are recognised and rewarded.
StudySmarter Expert Advice🤫
We think this is how you could land Business Data Engineer in Oxford
✨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 DCS Recruitment!
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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 DCS Recruitment.
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We think you need these skills to ace Business Data Engineer in Oxford
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 DCS Recruitment, 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 DCS Recruitment. 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 DCS Recruitment
✨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 DCS Recruitment!
✨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.
