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Lead Data Engineer

2 months ago

Eastern England, United Kingdom Arreoblue Full time
About the Role

As a Senior Data Architect at Arreoblue, you will play a pivotal role in shaping our clients' data strategies, guiding them through their data journeys and empowering them to make informed decisions. This position offers the opportunity to work on a variety of impactful projects, leveraging your expertise in cloud-based data platforms to help organizations harness the power of modern technologies.

We value collaboration, continuous learning, and the sharing of knowledge. We are committed to supporting your professional growth as you lead and innovate in the data engineering space.

Why Choose Arreoblue?

As a partner with leading technology companies, we offer an expansive range of training, knowledge, and opportunities within the data industry. We are committed to investing in our people, and this is reflected in our team's culture and approach to work.

We are deeply engaged with the fast-evolving technologies and communities around data. We encourage our employees to contribute to and present at data events, and we are fully committed to supporting your professional development. Arreoblue is an equal opportunity employer, celebrating diversity and committed to creating an inclusive environment for all employees.

Key Responsibilities
  • Lead Data Strategy Development: Collaborate with clients to create data roadmaps that align with their business goals and ensure successful outcomes.
  • Technical Leadership: Lead diverse and dynamic data projects, fostering a culture of collaboration and ensuring all voices are heard and valued.
  • Mentorship and Team Development: Support the growth and development of both Arreoblue and client-facing teams, offering guidance and mentorship to nurture talent and drive high performance.
  • Technical and Commercial Stewardship: Manage the balance between technical excellence and commercial viability, ensuring projects meet both client expectations and business goals.
Requirements
  • Technical Expertise: Strong experience and knowledge in cloud-based data platforms, including Azure, Databricks, and Fabric/Synapse Analytics.
  • Programming and Tools: Proficiency in Apache Spark, SQL, and Python, with a solid foundation in best development practices.
  • Leadership and Collaboration: Proven ability to lead, mentor, and develop high-performing technical teams, with a focus on fostering an inclusive and supportive team environment.
  • Communication Skills: Exceptional verbal and written communication skills, with the ability to convey complex technical concepts in a clear and accessible manner to diverse audiences.
  • Strategic Thinking: Capable of developing and executing strategic data plans that drive client success and reflect the latest industry trends.
  • Lifelong Learning: A commitment to continuous professional development, with an interest in becoming a recognized expert in the data engineering community.