Data Engineer

EasyGo - Hiring for New Role

11 Apr Data Engineer

Posted at 11:10h in Careers by

Company Overview:

EasyGo is a leading provider of electric vehicle (EV) charging solutions, dedicated to delivering innovative and sustainable charging services for consumers, businesses, and fleet managers. Our mission is to accelerate the transition to electric mobility by offering reliable, efficient, and user-friendly charging infrastructure.

Job Summary:

We are seeking a senior data engineer to join our Technology  Team.  This candidate will work in an agile development environment to lead the design and development of our Data platform to meet the needs of our scaling EV charging business.   The platform will integrate data from our CRM system,   our installation systems and EV charging back office which will be used to develop 360 view of the customer, charger network optimization opportunities and billing solutions for B2B customers.  The solution will be developed using Azure’s Cloud services and the candidate should have hands on experience of using Azure Data Platform. Ideally the candidate would have gone through the whole development life cycle from design to implementation to production on Azure during their previous projects.

 

Key Responsibilities:

  • Working with business partners to understand and develop a roadmap that facilitates the organizational growth and business strategy.
  • Liaise with internal and external stakeholders in order to collect and document technical requirements.
  • Collaborating with software engineering, reporting and Power BI, hardware engineering and  tech support teams to deliver on the overall technology strategy.
  • Leading the design and delivery of data solutions using latest services from Azure eco-system.
  • Contribute ideas to help ensure that required standards and processes are in place and actively look for opportunities to enhance and innovate solutions and improve process efficiency.

Required Experience and Skills

A minimum of 5 to 7 years’ professional experience is required.

  • Azure/AWS Experience (3+ years). Azure Data Certification a plus
  • Experience with Data Warehouse design and Kimball methodology
  • ETL experience using SSIS and Azure Data Factory
  • Experience working with SQL Server, SQL Data Warehouse and Azure Data Lake
  • SQL server schema design and optimization to meet performance requirements
  • Python programming for Data engineering and clean up. Spark/Data bricks experience will be a plus
  • Experience of working with Power BI and DAX programming.
  • Good understanding and experience of working with data security options on Azure.
  • Proven ability to translate complex business requirements into design of end-to-end data systems including scalability, HA and DR

Technologies

  • Technologies: SQL Server, data integration, ETL Design, Azure Data Lake, Azure Data Factory, Azure SQL Server and Azure Synapse
  • Core Programming languages: T-SQL, Power Shell, Azure API, DAX

 

Key Qualifications:

  • A minimum of a third level degree in Maths, Physics, Engineering, Computer Sciences or a related discipline
  • Commercial experience in Data Warehousing and business intelligence projects.
  • Experience in handling large and complex datasets using multiple programming languages (T-SQL, Python, R etc.) is essential
  • Experience analysing multiple business domains and translating them to dimensional designs for analytics and reporting
  • Exceptional problem-solving skills, with a focus on customer-centric solutions.
  • Excellent communication and leadership abilities, with a track record of influencing cross-functional teams.

Package:

  • €70 – 80k DOE
  • Bonus / Commission Structure
  • Pension
  • Healthcare
  • EAP