Director: Lead Data Engineer in London

Director: Lead Data Engineer in London

London Full-Time 63000 - 77000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead the design and development of scalable data pipelines for innovative applications.
  • Company: Join a forward-thinking tech company focused on data engineering and AI.
  • Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
  • Other info: Dynamic team environment with a focus on continuous learning and cutting-edge technology.
  • Why this job: Make a real impact by shaping data solutions and mentoring future engineers.
  • Qualifications: 7+ years in data engineering with leadership experience and strong technical skills.

The predicted salary is between 63000 - 77000 £ per year.

We are seeking a highly skilled and experienced Lead Data Engineer to join our talented team. The ideal candidate will have a strong background in data engineering, with experience in AI and a proven track record of designing and implementing robust data pipelines.

Responsibilities

  • Lead the design, development, and maintenance of scalable and efficient data pipelines to support our data-driven applications.
  • Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to understand data requirements and deliver high-quality solutions.
  • Architect and implement data ingestion, transformation, and storage processes using tools such as Apache Spark, Azure Data Factory, and other similar technologies.
  • Optimize data pipeline performance, ensuring data accuracy, reliability, and timely delivery.
  • Mentor and guide junior data engineers, fostering a culture of continuous learning and improvement.
  • Stay up-to-date with the latest trends and best practices in data engineering and AI, and apply them to our projects.
  • Participate in the evaluation and selection of new technologies and tools to enhance our data engineering capabilities.
  • Contribute to the development of AI-powered features and products, leveraging your knowledge of machine learning and data science concepts.

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 7+ years of experience in data engineering, with at least 3 years in a leadership role.
  • Strong proficiency in Apache Spark, Azure Data Factory, and other data pipeline tools.
  • Experience with cloud platforms such as Azure, AWS, or GCP.
  • Solid understanding of data modeling, data warehousing, and ETL/ELT processes.
  • Familiarity with AI and machine learning concepts, with hands-on experience in implementing AI-driven solutions.
  • Excellent problem-solving skills and the ability to design and optimize data architectures.
  • Strong programming skills in languages such as Python, Scala, or Java.
  • Experience with data quality, data governance, and data security best practices.
  • Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
  • Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities.

Preferred Qualifications

  • Advanced degree in Computer Science, Data Science, or a related field.
  • Certifications in relevant technologies, such as Azure Data Engineer or Databricks Certified Developer.
  • Experience with real-time data processing and streaming technologies like Apache Kafka or Azure Event Hubs.
  • Knowledge of data visualization tools, such as Power BI or Tableau.
  • Contributions to open-source projects or active participation in the data engineering community.

Director: Lead Data Engineer in London employer: Keka Technologies Private Limited

Join our innovative team as a Lead Data Engineer, where you'll have the opportunity to shape the future of data engineering in a collaborative and dynamic environment. We pride ourselves on fostering a culture of continuous learning, offering mentorship opportunities, and encouraging professional growth through exposure to cutting-edge technologies in AI and data management. Located in a vibrant area, we provide a supportive work culture that values creativity and teamwork, making us an excellent employer for those seeking meaningful and rewarding careers.

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Contact Details:

Keka Technologies Private Limited Recruitment Team

We think you need these skills to ace Director: Lead Data Engineer in London

Data Engineering
AI and Machine Learning
Data Pipeline Design
Apache Spark
Azure Data Factory
Cloud Platforms (Azure, AWS, GCP)
Data Modeling