Senior Data Engineer

Hometrack Data Systems Limited

Greater London

Hybrid

GBP 85,000 - 115,000

Full time

14 days+

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Benefits offered by this job

25 days annual leave

Volunteer day

Digital detox day

Cycle to work

Electric car schemes

Calm App membership

Enhanced parental leave

Fertility treatment support

Income protection & private medical保险

Gym access in London

Pension contribution 7.5%

Bonus up to 10%

Referral bonus £5K

Job summary

Hometrack Data Systems Limited is seeking an experienced Senior Data Engineer to join the Product team and drive our Data Services ambitions. You will help build the data platforms that back the market-leading AVM, serving 17 of the top 20 mortgage lenders in the UK, with a focus on scalable, reliable data products.

You will work in a hybrid pattern (3 days in the Tower Bridge Office) and collaborate with Product, Analytics, Security, and Software teams to translate complex data requirements

Qualifications

Experience with Databricks, Delta Lake and Lakehouse architecture for efficient data management.
Strong in Python, SQL, and PySpark.
Able to explain technical concepts to non-technical audiences.

Responsibilities

Be accountable for team outcomes, playing your part in achieving team goals and ensuring your contribution positively impacts overall success.
Be a continual improver, looking for ways to help the team do better and be better, again and again.
Write maintainable, testable code and enjoy providing code reviews.
Be passionate about building data products for stakeholders and customers, ensuring they are stable, scalable, secure, accurate, observable, and performant.
Enjoy collaborating closely with colleagues in Product, Analytics, Security, and Software, explaining technical concepts to non-technical audiences.

Skills

Python

SQL

PySpark

Tools

Databricks

Delta Lake

Lakehouse architecture

ETL pipelines

Job description

Hybrid working pattern - 3 days per week from Tower Bridge Office

Hometrack is seeking an experienced Senior Data Engineer to join our product team to help us deliver Hometrack's Data Services ambitions. By building the best property data sets available, which back the market leading AVM, trusted by 17 out of the top 20 mortgage lenders in the UK, we open the door to helping all our customers make the decisions that matter to them - to buy, to lend, to build.

The Data Services team works with 100s of customers across the property sector ranging from mortgage lenders, house builders, investors, fin & proptech, insurers, telco, retail and utilities, as well as others involved in the housing market. Our mission is to inform decision makers by putting the UK’s most trusted property data and insights at the heart of the property ecosystem.

Our market intelligence and customer acquisition, retention and engagement solutions are relied upon by leading industry professionals.

Data Services has a diverse product range covering market, property and mover intelligence, delivered through varying mechanisms including data platforms, reports and APIs, providing maximum flexibility when matching our customers’ needs to the most effective data solution.

Hometrack is looking for an experienced senior data engineer to help us make this a reality.

What we’re looking for in a Senior Data Engineer:

Be accountable for team outcomes, playing your part in achieving team goals and ensuring your contribution positively impacts overall success
Be a continual improver, looking for ways to help the team do better and be better, again and again
Write maintainable, testable code and enjoy providing code reviews
Be experienced with Databricks, Delta Lake and Lakehouse architecture for efficient data management; experience with ETL processes and optimizing data pipelines for performance
Be strong in Python, SQL, and PySpark
Be passionate about building data products for stakeholders and customers, ensuring they are stable, scalable, secure, accurate, observable, and performant
Enjoy collaborating closely with colleagues in Product, Analytics, Security, and Software, explaining technical concepts to non-technical audiences