A leading consultancy firm dedicated to delivering transformative data solutions. They empower their clients to harness the power of data through innovative engineering practices, enabling them to make data-driven decisions and achieve their strategic objectives.

They are seeking a Senior Manager for Modern Data Engineering to lead and expand their data engineering practice. This role is designed for an experienced leader who is both technically proficient in data engineering and skilled in managing high-performing teams. The ideal candidate will be responsible for driving the development of modern data pipelines, ensuring data accessibility, quality, and security while fostering a collaborative culture within the team.

Responsibilities

• Lead and manage the Modern Data Engineering team, providing strategic direction and mentorship.
• Design and implement scalable, robust data pipelines and architectures that meet client needs using modern technologies.
• Drive best practices in data engineering, including automation, data quality, governance, and security.
• Collaborate with stakeholders to understand data requirements and develop data solutions that support business objectives.
• Oversee project delivery, ensuring that projects are completed on time, within budget, and to the highest quality standards.
• Stay current with industry trends and emerging technologies related to data engineering and analytics.
• Foster a culture of innovation and continuous improvement, encouraging team members to develop their skills and knowledge.
• Build strong relationships with clients, acting as a trusted advisor on data engineering best practices and strategies.
• Lead the development of proposals and presentations for new business opportunities.

Qualifications

• Extensive experience in data engineering, with a strong understanding of modern data technologies (e.g., cloud platforms like AWS, Azure, GCP, and data tools such as Apache Spark, Kafka, dbt, etc.).
• Proven track record of leading and managing data engineering teams in a consultancy or similar environment.
• Strong expertise in building ETL/ELT processes and data pipelines across various data sources.
• Excellent problem-solving skills and the ability to think strategically and execute tactically.
• Familiarity with data governance and compliance practices.
• Strong communication skills, with the ability to engage and influence stakeholders at all levels of the organization.
• Relevant educational background (degree in Computer Science, Data Science, Engineering, or a related field).
• Certifications in relevant data technologies or methodologies are a plus (e.g., AWS Certified Data Analytics, Microsoft Certified: Azure Data Engineer).

Benefits

• Up to £102,000 + good bonus
• A collaborative and inclusive work environment that values diversity and innovation.