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For Companies At a Glance
- Tasks: Lead the design and build of scalable, cloud-native data solutions.
- Company: Join a global leader in personalised photo products with a focus on innovation.
- Benefits: Enjoy a competitive salary, bonus, and a flexible work environment.
- Why this job: Shape the future of data systems in a people-first, purpose-driven culture.
- Qualifications: Strong background in software and data engineering; proficient in Python and SQL.
- Other info: Opportunity to mentor engineers and influence cross-functional teams.
The predicted salary is between 60000 - 84000 £ per year.
Overview
An opportunity for a highly technical Lead Data Engineer looking to join a fast-growing Online Gambling and Sports Betting Platform that focuses on its first-in-class mobile app.
THE COMPANY
This future-ready Online Gambling and Sports Betting Platform offers customers the best mobile app experience in the industry.
The Role
As a Lead Data Engineer, you will take charge of a Data Engineering team focused on data ingestion and modelling.
Specifically, you can expect to be involved in the following:
- ETL pipelines for data ingestion and data modelling
- Using AWS to store and process data, with Snowflake as the data warehouse
- Use of Python and SQL
- Data orchestration and use of Terraform
Skills and Experience
The successful Lead Data Engineer will have the following skills and experience:
- Strong Python and SQL skills
- AWS or GCP
- Orchestration, ideally with Airflow or Dagsta but open to others
- Data warehousing – Snowflake, Redshift, BigQuery (NOT Databricks)
- Terraform or Palumi
Benefits
The successful Lead Data Engineer will receive the following benefits:
- Salary between £100,000 – £120,000 – depending on experience
How to Apply
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
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Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer
✨Tip Number 1
Network with professionals in the data engineering field, especially those who have experience in cloud-native solutions and data governance. Attend industry meetups or webinars to connect with potential colleagues and learn about the latest trends.
✨Tip Number 2
Familiarise yourself with the specific tools mentioned in the job description, such as Snowflake, AWS services, and Terraform. Consider building a small project that showcases your skills in these areas to demonstrate your hands-on experience.
✨Tip Number 3
Prepare to discuss your leadership style and how you mentor engineers. Think of examples where you've successfully led teams or influenced cross-functional stakeholders, as this will be crucial in showcasing your fit for a senior role.
✨Tip Number 4
Research the company’s approach to decentralised data models and be ready to share your thoughts on data mesh concepts. This will show your alignment with their vision and your proactive engagement with current industry practices.
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering and leadership. Emphasise your proficiency in Python, SQL, and cloud services like AWS, as well as any experience with data warehousing solutions such as Snowflake.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how your background aligns with the company's goals. Mention specific projects where you've successfully built scalable data solutions or mentored teams.
Showcase Technical Skills: Clearly outline your technical skills related to the job description. Include your experience with ELT practices, data governance, and any tools you’ve used like dbt, Fivetran, or Airflow. This will demonstrate your fit for the role.
Highlight Leadership Experience: Since this is a senior role, be sure to highlight any previous leadership roles or experiences where you influenced architectural decisions or coached other engineers. This will show that you can take on the responsibilities of mentoring and guiding a team.
How to prepare for a job interview at Harnham
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Python, SQL, and modern ELT practices. Highlight specific projects where you've implemented these technologies, especially in building scalable data solutions.
✨Demonstrate Leadership Skills
Since this role involves mentoring engineers and leading teams, share examples of how you've successfully coached others in best practices. Discuss your approach to fostering collaboration across different teams.
✨Understand the Business Context
Research the company’s products and how they leverage data to enhance customer experiences. Be ready to discuss how your technical decisions can drive business value and support their strategic goals.
✨Prepare for Architectural Discussions
Expect questions about architectural trade-offs and decentralised data models. Familiarise yourself with concepts like data mesh and be ready to articulate your thoughts on governance and reliability in data engineering.
