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- Tasks: Lead data engineering, build robust pipelines, and mentor a growing team.
- Company: Fast-scaling tech business with a focus on innovation and user experience.
- Benefits: Competitive salary, remote work, and opportunities for leadership growth.
- Why this job: Shape the future of data engineering in a dynamic, high-impact role.
- Qualifications: 7+ years in data engineering, expertise in Python, SQL, and cloud technologies.
- Other info: Join a collaborative environment where your technical excellence is valued.
The predicted salary is between 95000 - 110000 ÂŁ per year.
This is an exciting opportunity to step into a high‑impact Lead Data Engineer role within a fast‑scaling, fully remote tech business. You’ll shape their data engineering function, lead technical direction, and build modern, robust data infrastructure that directly powers real‑time product and commercial decision‑making.
The Company: They are a next‑generation digital platform operating in a fast‑growing consumer market, backed by recent multi‑million Series C investment. Their product is built around best‑in‑class engineering, modern design, and a mission to deliver an intuitive, mobile‑first user experience. With strong year‑on‑year growth, they are now expanding their data function to support scale, performance, and product innovation. You’ll be joining an engineering‑driven environment where data is central to the product and where technical excellence is genuinely valued.
The Role: As Lead Data Engineer, you will act as both a hands‑on technical expert and a mentor to a growing team. You’ll drive engineering standards, own key architectural decisions, and deliver scalable, reliable pipelines and models.
- Lead the technical strategy for data engineering across ingestion, modelling, orchestration, and automation.
- Build and maintain high‑quality ETL pipelines using modern tooling and cloud‑native infrastructure.
- Develop robust data models and frameworks to support analytics, reporting, and product teams.
- Champion best practices across testing, version control, monitoring, and CI/CD.
- Collaborate with engineering and data leadership to align technical decisions with broader business strategy.
- Mentor mid‑level and senior engineers, raising the bar on technical capability and engineering quality.
- Influence tooling choices and introduce new technologies to improve reliability and scalability.
Your Skills & Experience: You will be a strong fit if you bring:
Must‑haves:- 7+ years’ experience in data engineering.
- Deep expertise in Python and SQL.
- Strong experience building ETL pipelines and distributed data systems.
- Solid cloud experience — ideally AWS (open to GCP).
- Orchestration experience (Dagster, Airflow, or similar).
- Experience with modern data warehouses such as Snowflake, Redshift, or BigQuery.
- Infrastructure‑as‑code experience (Terraform or Pulumi).
- Strong data modelling capability (dimensional modelling, Data Vault, etc.).
- Background in software engineering or backend development is highly desirable.
- Experience in high‑growth or smaller technology environments.
- Snowflake experience.
- Experience with dbt, Fivetran, AWS Glue, or Apache Iceberg.
- Prior leadership or mentoring experience (team lead/tech lead).
What They Offer: The opportunity to influence architecture, tooling, and engineering standards from day one. A pathway into broader leadership as the team expands to 8+ engineers. A modern, well‑funded environment where engineering maturity is valued and rewarded.
Lead Data Engineer in Dunfermline employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer in Dunfermline
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to a role that fits your skills.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving ETL pipelines and cloud infrastructure. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with Python, SQL, and cloud platforms like AWS. Practice common interview questions to boost your confidence.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight how your experience aligns with the Lead Data Engineer role and our company values.
We think you need these skills to ace Lead Data Engineer in Dunfermline
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Data Engineer role. Highlight your experience with Python, SQL, and building ETL pipelines. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to our mission. Let us know why you're excited about this opportunity at StudySmarter.
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work that demonstrate your expertise in cloud infrastructure and data modelling. We love seeing real-world applications of your skills.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Harnham
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, SQL, and cloud platforms like AWS. Brush up on your ETL pipeline experience and be ready to discuss specific projects where you've built or maintained these systems.
✨Showcase Your Leadership Skills
As a Lead Data Engineer, you'll need to demonstrate your ability to mentor and lead a team. Prepare examples of how you've guided others in previous roles, focusing on how you raised technical standards and influenced architectural decisions.
✨Align with Their Vision
Research the company’s mission and values, especially their focus on data-driven decision-making. Be prepared to discuss how your technical strategies can align with their business goals and how you can contribute to their growth.
✨Prepare for Technical Challenges
Expect to face technical questions or challenges during the interview. Practice coding problems related to data engineering, and be ready to explain your thought process clearly. This will showcase your problem-solving skills and technical expertise.
