Opus Recruitment Solutions | Head of Data Engineering

Job Title: Head of Data Engineering

If the following job requirements and experience match your skills, please ensure you apply promptly.

Location:LondonType:Full-TimeSalary:Competitive

Our client in the Environmental sector is currently is seeking a Head of Data Engineering to lead their data engineering team and shape the organization’s data infrastructure. You will design and implement scalable data architecture, drive data governance, and ensure seamless data integration. Collaborating with key stakeholders like the CDO, CTO, and Head of Analytics, you'll play a crucial role in building data-driven strategies and supporting data science capabilities.

Job Description:We are seeking an experienced and visionary Head of Data to lead our data team. In this role, you will be responsible for the strategic direction, management, and execution of our data initiatives. You will play a pivotal role in shaping our data infrastructure, ensuring data quality, and enabling data-driven decision-making across the organization.

Key Responsibilities:

• Strategy and Leadership:Develop and implement a comprehensive data strategy that aligns with our business objectives. Lead and mentor a team of data engineers, analysts, and scientists.
• Data Infrastructure:Design, build, and maintain robust data infrastructure and pipelines to support data collection, storage, and analysis.
• Data Governance:Establish and enforce data governance policies to ensure data quality, integrity, and security.
• Collaboration:Work closely with cross-functional teams, including product, engineering, and business units, to understand their data needs and provide actionable insights.
• Innovation:Stay up-to-date with the latest data technologies and industry trends. Drive innovation in data practices and tools to keep us ahead of the curve.
• Performance Measurement:Define key performance indicators (KPIs) for data initiatives and monitor progress to ensure continuous improvement and impact.

Qualifications:

• Experience:Proven experience in a senior data leadership role, with a track record of managing and scaling data teams.
• Technical Skills:Expertise in data engineering, big data technologies (e.g., Hadoop, Spark), and cloud services (e.g., AWS, Google Cloud).
• Analytical Skills:Strong analytical mindset with the ability to translate complex data into actionable insights.
• Leadership:Exceptional leadership and team management skills. Ability to inspire and motivate a team to achieve their best.
• Communication:Excellent communication and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders.
• Education:Advanced degree in Computer Science, Data Science, Engineering, or a related field is preferred.

Benefits include...

• Competitive salary and stock options.
• 25 days holiday
• Health insurance
• Enhanced maternity and parental leave.
• Generous pension (includes both employee and employer contributions).
• Flexible working options
• Personal training and development budget
• Paid volunteering days.