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For Companies At a Glance
- Tasks: Design, develop, and maintain data infrastructure for Business Intelligence and Analytics.
- Company: Join a forward-thinking company focused on leveraging data for strategic decisions.
- Benefits: Onsite once a month, flexible work environment, and opportunities for innovation.
- Why this job: Be a key player in driving data-driven decisions and fostering innovation.
- Qualifications: 4+ years of Data Engineering experience with strong SQL and programming skills.
- Other info: Collaborate with stakeholders to ensure reliable and scalable data systems.
The predicted salary is between 43200 - 72000 £ per year.
LEAD DATA ENGINEER
LONDON
£100,000
THE COMPANY
Want to be part of a next generation real estate company? Want to see the commercial value of your work?
This is your chance to join a next-gen real estate company working with data to best inform its investment decisions, sustainability impact and how to best serve its customers.
THE ROLE
As a Lead Data Engineer, you will lead a small team to build the reporting capabilities for the business, and servicing customers. You will develop and build out the GCP Platform as well as work closely with stakeholders to help implement new parts of the platform to aid in day-to-day business activity and help with investment strategies.
SKILLS AND EXPERIENCE
The successful Lead Data Engineer will have the following skills and experience:
- GCP
- SQL
- Python
- Big Query
- Experience in real estate, investment research, financial services or consulting industries
BENEFITS
The successful Lead Data Engineer will receive the following benefits:
- Salary between £90,000 and £110,000 – depending on experience
- 10% Bonus
- Hybrid working, 3 days in their London office
HOW TO APPLY
Please register your interest by sending your resume/CV to Joana Alves via the Apply link on this page.
Lead Data Engineer employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer
✨Tip Number 1
Make sure to showcase your experience with Azure and ETL processes in your conversations. Highlight specific projects where you designed or optimized data pipelines, as this will demonstrate your hands-on expertise.
✨Tip Number 2
Brush up on your SQL skills and be prepared to discuss complex queries or optimizations you've implemented. Being able to articulate your thought process around database design can set you apart from other candidates.
✨Tip Number 3
Familiarize yourself with the latest trends in data warehousing solutions like Redshift, BigQuery, or Snowflake. Showing that you are up-to-date with industry standards can impress stakeholders during discussions.
✨Tip Number 4
Since strong communication skills are a requirement, practice explaining technical concepts in simple terms. This will help you connect better with non-technical stakeholders and demonstrate your ability to collaborate effectively.
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Lead Data Engineer position. Understand the key responsibilities and required skills, such as experience with Azure, SQL, and ETL processes.
Tailor Your CV: Customize your CV to highlight your relevant experience in data engineering, particularly your work with ETL pipelines, SQL databases, and programming languages like Python or Java. Use specific examples to demonstrate your expertise.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and how your background aligns with the company's goals. Mention your experience in designing scalable data systems and your ability to collaborate with stakeholders.
Highlight Communication Skills: Since strong communication skills are emphasized in the job description, provide examples in your application that demonstrate your ability to effectively communicate complex data concepts to non-technical stakeholders.
How to prepare for a job interview at Harnham
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Azure, ETL pipelines, and SQL in detail. Highlight specific projects where you designed or optimized data systems, as this will demonstrate your hands-on expertise.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your ability to troubleshoot and optimize data processes. Prepare examples of challenges you've faced in previous roles and how you overcame them, particularly in relation to data reliability and scalability.
✨Communicate Effectively
Strong communication skills are essential for this role. Practice explaining complex technical concepts in simple terms, as you may need to collaborate with non-technical stakeholders. This will show your ability to bridge the gap between technical and business needs.
✨Prepare for Behavioral Questions
Be ready to answer behavioral questions that explore your teamwork and collaboration skills. Think of instances where you worked with cross-functional teams to drive innovation or strategic decision-making, as these experiences will be valuable in the interview.
