- Act in an Engineering Lead role for the technical onboarding of new customers, working alongside Key Account Managers.
- Interact with existing and prospective customers, listen to customer requirements, and develop Proof of Concepts and Demos.
- Drive and take ownership of end-to-end technical delivery for customer onboarding; identify and resolve issues andrisks.
- Use existing tools and/or develop custom implementations for data ingestion pipelines, ETL and normalisation.
- Conduct data quality reviews and validate customer datasets through existing algorithms and analytics functions. Identify gaps in data quality and either develop workarounds to enable compatibility with existing features or identify feature-by-feature support needs. Work with customers to improve data quality to maximise the range of supported insights.
- 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.
- Support account managers in delivery of specialised customer-specific technical support & training, not otherwise covered through standardised training and documentation processes.
- Work closely with the product development teams to prioritise, define and evolve product vision, based on customer feedback and interactions; be the voice of the customer, from a technical perspective.
- Master's in a relevant field (Computer Science, Engineering, Physics, Mathematics)
- Experience in data fields.
- Data science background, particularly using timeseries data
- Knowledge of modern data pipeline architecture and cloud platforms, e.g. AWS/GCP/Azure (AWS preferred)
- Solid understanding and experience of Cloud, Data, ingress/egress APIs and Large-Scale Migration, with hands-on experience with data pipelines and data normalisation
- Experience developing and deploying software in cloud platforms, particularly AWS (Lambda, S3, ECS, etc.).
- Strong experience in ETL tools and their application to both 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 and CI/CD frameworks (e.g. Git, Azure DevOps etc.))
- To be a flexible, proactive thinker who drives the design and development of new ideas that can make a difference.
- To have the ability to think broadly and adopt and/or adapt technology or understanding from other fields of interest to create future business opportunities and communicate their potential to peers.
- Is focused on improvement of process, people, and use of technology.
- Experience in the battery domain
- Experience in MATLAB/Simulink
- Training to add to your existing skills and accelerate your career
- A supportive and empowering work environment
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Data Engineer - Grove, United Kingdom - Wae
Description
Job descriptionJOIN A TEAM THAT'S CHANGING THE WORLD
Williams Advanced Engineering exists to accelerate the advantage and impact of our clients. We do it through innovative engineering and technology that solves complex problems and brings a step-change in weight, speed, and efficiency. Join us to help fulfil 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 be working 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:
The closing date for applications is 3rd March 2023.
Location:
We are based on the Williams technical campus in Grove, Oxfordshire, UK. 20 minutes' drive South of Oxford, UK.
Disclaimers and DEI:
You do not need to match every listed expectation to apply for this position. At WAE we are committed to building a team that encompasses a variety of 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 job adjustments.
