Data Analytics Engineer

Our client is currently seeking a Data Analytics Engineer with a skillset and interest encompassing future mobility platforms.

• The successful candidate will join a highly dynamic team working on the intersection of data intelligence with new automotive passenger car technologies including hybridised ICE, fuel cell and battery-electric-vehicle development.
  The primary objective will be to work closely with our customers to develop, test, and optimise the performance of their future powertrains and vehicle programs utilising a data analytics skillset, across a hybrid working environment in the AVL office, home and on-site at the customer.
  The successful candidate will be expected to take responsibility for requirement definition, model development and analysis activities, and planning/execution of test work on databases, using ‘big data’, and cloud computing platforms.

• Clear, concise communication whilst reporting/recommendations to customer teams is critical.
  Our engineers are typically exposed to multiple different projects during their career working with us, exemplified by the broad range of potential electrification and virtualisation opportunities in this role.

• It is therefore particularly suited to people who will enjoy the opportunity to gain experience in new areas and who can rapidly self-start, combining a pro-active attitude, excellent analytical problem-solving skills and an outstanding technical engineering background.

Responsibilities:
Support powertrain development projects across internal and customer opportunities covering a range of powertrain concepts
Perform data processing and analysis, with reporting to customer teams and management
Design and implement automated applications and metrics to enable more informed and data-driven engineering evaluations, using AVL and customer tools and methods,
Apply statistical modelling, learning and machine learning techniques to optimize processes and support engineering decisions
Clear and concise reporting including graphical representations to aid understanding and interpretation
Support scaling of models and algorithms via implementation in larger software frameworks.

Profile:
Essential:
Minimum of 2:1 Bachelor’s or Master’s degree in a relevant engineering area (Physics, Mathematics, Mechanical, Automotive, etc)
Proficiency in engineering data science toolsets; e.g. SQL, Python, R, MATLAB, Tableau, AWS, etc.
Excellent analytical skills with ability to summarize and make clear technical recommendations across multifunctional disciplines with supporting data
Self-starter with the ability work with high level instruction, minimal detail breakdown and to be able to seek out relevant information, data and support from other engineering groups
Ability to communicate technical information effectively, both written and verbal, with AVL and customer team members, as well employees in other, customers, suppliers, and the global AVL team
Flexibility to work/travel across multiple projects/locations
Preferable:
Experience of electrification, e.g. hybrids, battery and fuel cell technology, and an appreciation of future industry trends
Knowledge of powertrain and data analysis tools (AVL Concerto, CANape, AVL CAMEO, DIAdem etc.)
Appreciation/experience of powertrain simulation techniques (e.g. MATLAB, Simulink, AVL CRUISE™ M) across virtual development, verification, and validation techniques

Benefits:
EV Lease Scheme (Salary Sacrifice)
Flexi-time (applies to most roles)
Private Medical Insurance and Health Cash Plan
Cycle to Work Scheme
25 days holiday per year (increases by 1 day annually up to the max. of 28 days)
Special occasion leave (eligibility after probation, subject to conditions)
Pension scheme
Life Assurance and Income Protection Insurance
One paid professional membership annually