
Senior Data Engineering Manager
1 day ago
We are seeking a skilled professional to lead our Commercial Data team in Advertising. This role involves developing leading property and market data insights to power Real products.
">- End-to-end technical delivery of complex initiatives under the product management pipeline using agile methods and frameworks working with cross-disciplinary teams.
- Provide technical leadership and guidance to the team, serving as a subject matter expert in data engineering and related technologies.
- Contribute to the design and architecture of scalable, efficient, and secure data solutions, considering long-term scalability and maintainability.
- Provide guidance, support, and leadership to the team.
- Establish effective ways of working within and across teams.
- Embrace continuous learning, leveraging latest development trends to solve complex challenges.
- Drive delivery practices running agile scrum ceremonies and producing agile artefacts.
- Contribute to the adoption of best practices, coding standards, and engineering principles across the team to ensure a high-quality and maintainable codebase.
- Collaborate with the development team to implement shift-left testing practices, ensuring early and frequent testing throughout the development lifecycle.
- Conduct performance analysis, optimization, and tuning of data processing workflows and systems to enhance efficiency and meet performance targets.
- Support the team's iterations, scope, capacity, risks, issues, and timelines.
- Participate in technical discussions, code reviews, and architectural reviews to maintain code quality, identify improvement opportunities, and ensure adherence to standards.
- Mentor and coach engineers, fostering their professional growth, assisting them in overcoming technical challenges and create a culture of quality and efficiency, leading to reduced time-to-market and enhanced product quality.
- Collaborate with stakeholders to define data governance policies, data quality standards, and data management processes.
- Drive continuous improvement initiatives, such as automation, tooling enhancements, and process optimizations, to increase productivity and operational efficiency.
- Act as a strong advocate for data-driven decision-making, promoting a data-driven culture within the organization.
Required Skills and Qualifications:
- 8-13 years of experience in software development, preferably with a focus on data engineering.
- Proven people leadership and mentoring experience.
- Well-versed in SQL, Python, ETL/ELT pipelines.
- Experience with data modeling, data pipelines, data consumption, data analysis, and documentation.
- Knowledge of data warehousing and ability to lead development teams using Agile, Lean, and/or iterative releasing.
- Advocate for code quality and security.
- Ability to foster a culture of continuous learning and knowledge sharing.
Benefits:
- A hybrid and flexible approach to working.
- Transport options to help you get to and from work.
- Meals provided on site in our office.
- Flexible leave options.
- Insurance for you and your immediate family members.
- Programs to support mental, emotional, financial, and physical health & wellbeing.
Our commitment to Diversity, Equity, and Inclusion:
We are committed to providing a working environment that embraces and values diversity, equity, and inclusion. We believe teams with diverse ideas and experiences are more creative, more effective, and fuel disruptive thinking - be it cultural and ethnic backgrounds, gender identity, disability, age, sexual orientation, or any other identity or lived experience.
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