Data Engineering Lead
2 months ago
About the Role
Unite Students is seeking a highly skilled Data Engineering Lead to join our dynamic and innovative team. As the Data Engineering Lead, you will be responsible for leading a team of data engineers in the design, development, implementation, and maintenance of our data analytics platform.
Key Responsibilities
- Lead and mentor a team of data engineers, providing hands-on technical guidance across the development lifecycle, fostering a collaborative and high-performance team environment.
- Work closely with the BI Developers and Data Scientists in the team to deliver visualisation and analysis products which drive business value and understanding across a variety of domains.
- Collaborate with cross-functional teams, product owners, architects, and governance to define requirements, specifications and ensure alignment.
- Design scalable and efficient processes and physical data architectures that align with the architectural data vision, business objectives, meet security and governance requirements and support future scalability.
- Create and maintain a culture of continuous improvement within the team; conduct code reviews to maintain code quality, identify areas for improvement, and ensure adherence to established standards.
- Support / Lead team scrum processes and ceremonies. Prioritise and refine backlog with key stakeholders and partners.
- Define and enforce coding standards, best practices, and development processes to help us move to an automation first mentality.
- Create and maintain comprehensive platform documentation, including data lineage, process guides, and code documentation.
- Work with the Analytics team and other technical teams to perform proof of concepts on new technologies and being comfortable to fail fast, learn faster.
Requirements
- A proactive and visionary individual, capable of helping to shape future direction and effectively communicate with both technical and non-technical stakeholders.
- Highly collaborative, with strong problem solving skills and ability to take initiative and drive projects forward.
- Sound problem-solving skills with the ability to quickly process complex information and present it clearly and simply.
- Utilises team collaboration to create innovative solutions efficiently.
- Passionate about technology and excited about the impact of emerging / disruptive technologies.
- Proven learning agility on both the technical and business process realms.
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
- Proven experience as a technical lead in data development, working within an agile methodology.
- Strong proficiency in SQL and Python.
- In-depth knowledge of data design principles and database technologies, including traditional data warehousing and big data frameworks.
- Familiarity with technologies such as Airflow, Talend, AWS Lambda, Redshift, S3, and analytics/visualisation platforms such as Databricks and Tableau.
- Experience with testing, versioning, and documentation tools.
- Knowledge and experience with low-code technologies such as SnapLogic.
- Excellent leadership, communication, and collaboration skills.
What We Offer
- An annual bonus so you can share in the company's success.
- 25 days' paid holiday.
- Pension - based on how much you save, we'll contribute 1% more.
- Flexible working opportunities.
- Shared Parental Leave - 18 weeks full pay.
- Other benefits include, ShareSave, Bike to Work, Charity Match, amazing discounts and more.
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