Senior Data Engineer designing impactful data solutions for clients at Simple Machines. Collaborating with engineers to build data platforms and pipelines in a hybrid workplace.
Responsibilities
Design and build data platforms, pipelines, and integrations tailored to each client’s environment and objectives.
Develop batch and real-time data processing solutions at scale.
Work directly with clients to understand their requirements, shape expectations, and advise on best practices for data architecture and engineering.
Rapidly learn and adapt to new cloud platforms, tools, and frameworks as projects demand.
Help client teams build capability by sharing knowledge and establishing good engineering practices.
Contribute to security, governance, and quality across the solutions you deliver.
Requirements
Strong data or software engineering fundamentals. You write clean, well-tested, production-quality code.
Proficiency in multiple programming languages, ideally including Python.
Experience with cloud platforms (AWS, GCP, and/or Azure) and comfort working with cloud-native services.
Strong experience with SQL, databases and/or data warehouses, data modelling, and data storage patterns.
Exposure to containerisation, CI/CD, and infrastructure-as-code concepts.
Excellent communication skills. You can translate technical concepts for non-technical stakeholders, understand client needs, and shape realistic expectations.
A curious, adaptable mindset. You enjoy learning new technologies and thrive in varied project environments.
5+ years of professional experience in data engineering, software engineering, or a closely related field.
Consulting or professional services experience is a bonus, but not essential - we’re happy to help you develop those skills if you have strong communication skills.
Degree or equivalent experience in computer science or related field.
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