What you'll need
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
- 7+ years of experience in data engineering or software engineering roles, with at least 3 years in a leadership/management position.
- Strong expertise in data pipeline development, ETL/ELT processes, and data warehousing solutions.
- Proficient with cloud platforms (AWS, GCP, Azure) and big data tools like Apache Spark, Python, etc.
- Experience with relational and NoSQL databases.
- Solid understanding of data modeling, data architecture, engineering frameworks
- Proven ability to lead and scale engineering teams and manage cross-functional projects.
- Excellent problem-solving skills and ability to communicate complex technical concepts to both technical and non-technical stakeholders.
- Experience with agile development methodologies.
Who you are
You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.
You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.
You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.
What we'll give you
Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.
Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.
Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?
We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.
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