Business Data Engineer
1 month ago
Main responsibilities
Independently develop solutions (workflows, small apps, and dashboards) on the Skywise platform.
Ensure data is prepared and available for analytics and reporting tools.
Work closely with data analysts, and group teams to align data sources with business needs.
Support the roll out of MIS into the engineering teams and support functions, setting up efficient processes to support each phase of the project.
Work collaboratively with teams cross functionally between all sites of AHUK.
Ensure data integrity and quality by implementing validation processes and error detection mechanisms.
Optimise data workflows for faster and more efficient processing, reducing downtime and improving operational efficiency.
Automate manual processes related to data collection, reporting, and analysis to improve speed and reduce human error.
Streamline repetitive tasks and optimise workflows for efficiency, directly contributing to business improvements.
Work with business teams to understand key pain points and operational inefficiencies.
Translate business requirements into technical data solutions that support performance tracking and improvement initiatives.
Enable real-time or near-real-time data access to help businesses make timely, informed decisions.
Develop scalable solutions to handle increasing amounts of data as business needs evolve.
Regular travel to other UK offices.The data engineer in the Business Improvements team ensures that data infrastructure and pipelines are designed to support continuous improvement in business operations, making data more actionable and leading to strategic business enhancements.
Knowledge and Skills
Proficient with Skywise platform and tools e.g. Contour, Code-Workbook, Code, Slate and Ontology definitions.
Proficient with Google products, app script, app sheet, google automations and google sheet functionality.
Expertise in data analysis methodologies and processes and their linkages to other processes.
Proficient SQL skills and experience with relational databases and database design.
Knowledge of Python, PL/SQL, Java Script, HTML & CSS.
Ability to understand and analyse existing business processes and suggest improvements based on data insights and areas for automation.
Understanding of key business metrics and KPIs, and how to leverage data to influence business strategies.
Ability to translate business needs into technical data solutions that align with company objectives.Essential
Ability to translate business requirements into technical data solutions.
Understanding of key business metrics and KPIs, ensuring that data pipelines support decision-making.
Dashboard creation in Skywise, Google Looker /other comparable software.
Programming skills (PLSQL/JS)
Planning, Scope management skills
Experience of delivering concepts into production.
Ability to liaise with non-technical teams to define and refine project requirements, ensuring data-driven business improvements.
Education, Qualifications or Training
Essential
STEM Science, Technology, Engineering and Mathematics HNDDesirable
Knowledge of airline and MRO operations.
Familiarity with integrating machine learning models into data pipelines.
Business / Industrial experience.
Application / Software development.
On top of your competitive base salary, you will have access to the following benefits: -
Private Medical Insurance (Bupa) - single cover for employees paid by the company
Pension: Employees are auto-enrolled into the Company Retirement Fund.(They contribute 6%, employee 4% basic)
Share Incentive Plan and ESOP. Annual share schemes at company discretion.
Success Share, Discretionary Group bonus scheme (conditions apply)
Bikes to Work (up to £3,000) (employee purchase scheme)
Technology (employee purchase scheme)
Mydrive (employee car purchase scheme)
Den-Plan (employee purchase scheme)
Health-care Cash Scheme
Personal Accident Insurance (employee purchase scheme)
Health Assessments
Travel Insurance
Financial/Legal Advice (eg, Will-writing; Lasting Power of Attorney)(Monday to Friday 8.30am - 5pm - Office based)
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