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Job description
JOIN A TEAM THAT’S CHANGING THE WORLD
Williams Advanced Engineering exists to accelerate the advantage and impact of our clients. We do this through innovative engineering and technology that solves complex problems and brings a step-change in weight, speed, and efficiency. Join us to help fulfill our mission to accelerate an efficient, electric, and sustainable future.
An opportunity has arisen for a Data Engineer to join our Battery Systems team. In this role, you will work directly with the early-stage team developing an innovative new software product, delivering an exceptional user design experience for our ambitious product roadmap.
Job role:
1. Act as an Engineering Lead for the technical onboarding of new customers, working alongside Key Account Managers.
2. Interact with existing and prospective customers, listen to customer requirements, and develop Proof of Concepts and Demos.
3. Drive and take ownership of end-to-end technical delivery for customer onboarding; identify and resolve issues and risks.
4. Use existing tools and/or develop custom implementations for data ingestion pipelines, ETL, and normalization.
5. Conduct data quality reviews and validate customer datasets through existing algorithms and analytics functions. Identify gaps in data quality and develop workarounds to enable compatibility with existing features or identify feature-by-feature support needs. Work with customers to improve data quality to maximize the range of supported insights.
6. Identify customer-specific onboarding requirements and develop custom solutions or escalate to the appropriate development teams. Act as the technical lead for custom implementations to satisfy customer requirements.
7. Support account managers in delivering specialized customer-specific technical support and training, beyond standardized training and documentation processes.
8. Work closely with the product development teams to prioritize, define, and evolve the product vision based on customer feedback; be the voice of the customer from a technical perspective.
Qualifications and experience:
* Master’s degree in a relevant field (Computer Science, Engineering, Physics, Mathematics).
* Experience in data-related fields.
* Background in data science, particularly with time-series data.
* Knowledge of modern data pipeline architecture and cloud platforms, e.g., AWS, GCP, Azure (AWS preferred).
* Solid understanding and experience with Cloud, Data ingress/egress APIs, and large-scale migration, with hands-on experience with data pipelines and normalization.
* Experience developing and deploying software on cloud platforms, particularly AWS (Lambda, S3, ECS, etc.).
* Strong experience with ETL tools and their application to batch and streaming data (Athena/Glue, Snowflake, Redshift, BigQuery, Apache Airflow, Spark/Hadoop, etc.).
* Deep experience with Python for data science applications, including best practices (code review, unit testing, version control, CI/CD frameworks such as Git, Azure DevOps).
* Proactive, flexible thinker who drives the design and development of innovative ideas.
* Ability to think broadly, adapt technology from other fields, and communicate potential opportunities to peers.
* Focus on improving processes, people, and technology use.
Desirable:
* Experience in the battery domain.
* Experience with MATLAB/Simulink.
We’ll provide:
* Training to enhance your skills and accelerate your career.
* A supportive and empowering work environment.
Application deadline:
The closing date for applications is 3rd March 2023.
Location:
Based on the Williams technical campus in Grove, Oxfordshire, UK. 20 minutes’ drive south of Oxford.
Disclaimers and DEI:
You do not need to match every listed expectation to apply. At WAE, we are committed to building a diverse team with various backgrounds, experiences, and skills. WAE is an equal opportunity employer that values diversity and inclusion. If you have a disability, we are happy to discuss reasonable adjustments.
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