Lead Data Engineer

2 months ago


Hazel Grove, Stockport, United Kingdom Wae Full time
About the Role

We are seeking a highly skilled Data Engineer to join our Battery Systems team at WAE. As a Data Engineer, you will play a critical role in the development of our innovative software product, delivering a exceptional user experience for our ambitious product roadmap.

Key Responsibilities
  • Act as an Engineering Lead for the technical onboarding of new customers, working closely with Key Account Managers.
  • Interact with existing and prospective customers, listen to their 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 and risks.
  • Design and implement data ingestion pipelines, ETL, and normalization using existing tools and/or custom implementations.
  • 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.
  • 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 specialized customer-specific technical support & training, not otherwise covered through standardized training and documentation processes.
  • Work closely with the product development teams to prioritize, define, and evolve product vision, based on customer feedback and interactions; be the voice of the customer, from a technical perspective.
Requirements
  • 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 normalization
  • 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
What We Offer
  • Training to add to your existing skills and accelerate your career
  • A supportive and empowering work environment

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