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Lead Data Engineer
Certus Sales Recruitment
Greater London
Hybrid
GBP 100,000 - 120,000
Full time
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Job summary
An established industry player is seeking a Lead Data Engineer to join their innovative team in London. In this pivotal role, you will design and implement high-performance data pipelines while leading a talented team of engineers. Your expertise in Python, AWS, and data warehousing will be crucial as you architect solutions that drive efficiency and innovation. This dynamic company, known for its cutting-edge applications in finance and real estate, offers a hybrid working model and a competitive salary package. If you are ready to elevate your career and make a significant impact, this opportunity is perfect for you.
Benefits
Qualifications
- Proficiency in Python, AWS, and PostgreSQL with strong ETL and data warehousing experience.
- Proven leadership skills and excellent problem-solving abilities.
Responsibilities
- Design and implement scalable data pipelines and manage a team of engineers.
- Collaborate with cross-functional teams to enhance data capabilities.
Skills
Tools
Job description
London - Hybrid
100-120k Base + Great Benefits
Our well-backed and rapidly growing client applies cutting-edge, peer-reviewed science to real-world situations. Their leading platform is well-received within the financial and real estate sectors. To further develop their platforms, they have an immediate and exciting opening for a Lead Data Engineer to work on a 3-day hybrid model from their London office.
- Design and implement scalable, high-performance data pipelines and infrastructure.
- Architect efficient database schemas for large geospatial and time-series datasets.
- Lead the integration of core products to enhance data capabilities.
- Manage and mentor a team of 2–3 data engineers, fostering growth and collaboration.
- Provide technical oversight to ensure high-quality, efficient project delivery.
- Align team projects with broader business objectives.
- Drive innovation in data engineering practices within the organisation.
- Collaborate cross-functionally with Technology, Science, and Product teams.
- Proficiency in Python, AWS, Bash, and PostgreSQL.
- Strong experience with ETL pipelines, data modelling, and data warehousing.
- Expertise in designing and managing cloud-based infrastructure.
- Excellent problem-solving and analytical skills for complex data challenges.
- Proven leadership or mentoring experience in a technical environment.
- Strong communication skills for cross-functional collaboration.
- Familiarity with big data technologies like Hadoop or Spark (desirable).
- Knowledge of data governance, security, and visualisation tools like Tableau (desirable).
- A base salary of circa 100-120k
- L&D budget
- Generous PTO
- Hybrid working
- Flexible hours
- Regular socials
- Great Tech
If you are ready to take your career to the next level and make a significant impact, apply now!
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