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Senior Engineer, Data Engineering
2 months ago
Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.
Are you an experienced and talented Data Engineer looking for an exciting opportunity in the Utilities industry? Our client, a leading organisation in the Utilities sector, is seeking a skilled Data Engineer to join their dynamic team. If you're passionate about leveraging your data engineering expertise to create robust data pipelines and contribute to the company's analytics and business intelligence capabilities, then this role is perfect for you
Role: Data Engineer
Location: Remote,
As a Data Engineer, you will play a pivotal role in designing, developing, and maintaining data pipelines that align with the objectives of our client's data users. Collaborating with product, data platform, and data architect managers, you will focus on establishing and scaling data pipelines in the domains of finance, safety, HR, and operational performance.
Write, develop, and maintain codebase and data products using Python and SQL.
Troubleshoot DevOps/Cloud platforms.
Automate data quality checks based on data contracts and information model.
Collaborate with data teams to align with data governance standards and principles.
Be open to learning and contributing to data science and predictive analytics.
A degree in a relevant field such as statistics, computer science, physics, or engineering.
Proven experience in process and/or tool development for data-based processes.
Expertise in Python and SQL programming languages.
Required: Python (Flask and Pandas experience preferred), SQL, GIT, Azure DevOps, Snowflake (or any cloud solutions), Communication, DBT.
- Azure Cosmos, Azure Storage (Blob and/or ADLS), Cloud Functions, React or Typescript (Front-end), Data Science and statistical analysis experience, DataOps.If you're ready to take on a challenging and rewarding role as a Data Engineer with our client, apply now Join their team and make a significant impact on their data pipelines and business intelligence capabilities.