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- Tasks: Lead technical onboarding for customers and develop innovative software solutions.
- Company: Join Williams Advanced Engineering, a leader in sustainable engineering and technology.
- Benefits: Enjoy training opportunities and a supportive work environment.
- Why this job: Be part of a mission to create an efficient, electric future while working on exciting projects.
- Qualifications: Master's degree in relevant fields and experience in data science and cloud platforms required.
- Other info: Diversity and inclusion are valued; all backgrounds encouraged to apply.
The predicted salary is between 36000 - 60000 £ per year.
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Client:
Wae
Location:
Wantage, United Kingdom
Job Category:
Other
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EU work permit required:
Yes
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Job Reference:
1553735dab86
Job Views:
4
Posted:
25.06.2025
Expiry Date:
09.08.2025
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Job Description:
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 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:
- 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.
You’ll have:
- 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.
Desirable:
- Experience in the battery domain
- Experience in MATLAB/Simulink
We’ll provide:
- Training to add to your existing skills and accelerate your career
- A supportive and empowering work environment
Application deadline:
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.
Please note that if you are NOT a passport holder of the country for the vacancy you might need a work permit. Check our Blog for more information.
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Created on 25/06/2025 by TN United Kingdom
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Data Engineer - Customer Success employer: Wae
Contact Detail:
Wae Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Customer Success
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as AWS, ETL tools, and Python. Having hands-on experience or projects that showcase your skills in these areas can set you apart during interviews.
✨Tip Number 2
Network with professionals in the battery systems and data engineering fields. Attend relevant meetups or webinars to connect with potential colleagues or mentors who can provide insights into the company culture and expectations.
✨Tip Number 3
Prepare to discuss your experience with customer onboarding and technical support. Be ready to share examples of how you've successfully resolved issues or improved processes in previous roles, as this aligns closely with the responsibilities of the position.
✨Tip Number 4
Research Williams Advanced Engineering and their recent projects or innovations in battery technology. Being knowledgeable about their work will help you demonstrate your genuine interest in the role and how you can contribute to their mission.
We think you need these skills to ace Data Engineer - Customer Success
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Data Engineer role. Focus on your data science background, experience with cloud platforms, and any specific tools mentioned in the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for innovative engineering and technology. Mention how your background in data fields and your experience with customer onboarding can contribute to the team at Williams Advanced Engineering.
Highlight Technical Skills: In your application, emphasise your proficiency in Python, ETL tools, and cloud platforms like AWS. Provide examples of past projects where you successfully implemented data pipelines or improved data quality.
Showcase Problem-Solving Abilities: Demonstrate your ability to identify and resolve issues by including specific examples from your previous work. Discuss how you have developed custom solutions or improved processes in past roles, particularly in relation to customer needs.
How to prepare for a job interview at Wae
✨Understand the Role
Make sure you thoroughly understand the responsibilities of a Data Engineer in the context of customer success. Familiarise yourself with the specific tasks mentioned in the job description, such as technical onboarding and data quality reviews.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data pipeline architecture, cloud platforms like AWS, and ETL tools. Highlight any relevant projects or experiences that demonstrate your proficiency in these areas.
✨Prepare for Customer Interaction Scenarios
Since the role involves interacting with customers, think of examples where you've successfully communicated technical concepts to non-technical stakeholders. Be ready to explain how you would handle customer-specific onboarding requirements.
✨Demonstrate Problem-Solving Abilities
The job requires identifying and resolving issues during customer onboarding. Prepare to discuss past challenges you've faced in similar roles and how you approached solving them, particularly in relation to data quality and integration.
