Lead Data Engineer

Hybrid / Flexible Working

Salary: Up to £60,000 depending on experience + up to 20% annual bonus + benefits

About Us:

Founded in 2018 LDMS are part of the LC Financial Holdings group, a 4 pillar organisation that has over 2,000 employees across Europe. Together, we have an impressive track record of providing world class credit expertise that spans over 20 years.

We are a Fintech company focused on digital lending software, a market growing around 18% per year and set to be worth $27 billion by 2028. Given our expertise within the company and across the group we aim to be the leader in the space, and in order to do that we need a team of people who can not just write quality code but can think, create and challenge others to come up with the best solutions for our customers. We are an ambitious team with a pretty big ‘to do list’ including improving existing products, building new ones and delivering to new markets.

The Role

As a Lead Data Engineer, you will play a critical role in leading and shaping our data engineering team. You have the technical expertise and experience in data engineering and are passionate about mentoring and developing junior engineers. You are proactive, hands-on and excel at building scalable data pipelines and systems.

Working closely with cross-functional teams, you will help define data strategy, design and build data models, and ensure the reliability and performance of our data infrastructure. You are a problem solver and have a keen eye for identifying and resolving data quality issues.

We work in multi-disciplinary teams and strong communication and teamwork is essential.

Key Responsibilities 

From time to time the key responsibilities may change or be adapted to the needs of the business, however the below gives an overview of the key areas of focus

Day to Day

• Lead and mentor a team of data engineers, providing technical guidance and support
• Design and build scalable data pipelines and systems
• Define data strategy and work with cross-functional teams to implement best practices
• Optimise and monitor data infrastructure for reliability and performance
• Identify and resolve data quality issues
• Collaborate with stakeholders to understand data requirements and deliver solutions

Requirements

Essential:

• 5+ years of experience in data engineering
• Strong programming skills in Python, Java or Scala
• Deep understanding of data modelling and database design
• Expertise in building and optimising data pipelines and ETL processes
• Good verbal, written and communication skills

Desirable: 

• Experience with Big Data technologies such as Hadoop, Spark, or Kafka
• Knowledge of cloud-based data platforms (e.g. AWS, GCP, Azure)
• Experience with data warehousing and building data lakes

What’s important to us?

It’s safe to say our passion is tech but we recognise that it’s the people that we hire and bring together who are at the heart of the organisation. Over the years we have acquired and recruited a pretty eclectic bunch with hobbies ranging from gaming to ultra marathon running, snowboarding to chess and hiking and climbing, however, what we do have in common are our values:

• Teamwork
• Merit
• Develop
• Honest
• Impactful
• Integrity

They may just look like corporate jargon but they mean something to us, and if you can relate to the above, get in touch as it there’s a good chance that you’d be a great addition to the team.

Benefits

• Discretionary Bonus (Up-to 20%)
• 25 days Annual leave (plus bank holidays)
• 1 day Birthday Leave
• 1 day Charity Leave
• Death In Service
• Private Health Insurance – AXA VIP comprehensive cover – optional
• EAP
• Pension (Salary Sacrifice 3%/5% contribution)
• Salary sacrifice bike and electric car scheme
• Monthly Socials
• Charity Events