Senior Data Engineer, Bits
4-5 days a week in office
Credit cards and more
Job no longer available
Credit cards and more
21-100 employees
Job no longer available
4-5 days a week in office
21-100 employees
Company mission
To help customers learn to manage credit.
Role
Who you are
- Bachelor's degree in Computer Science, Information Technology, or a related field
- 3+ years of experience in data engineering and building robust data architecture
- Hands-on experience with cloud platforms (e.g., AWS, GCP, Azure) and big data technologies (e.g., Hadoop, Spark, Kafka)
- Strong SQL skills and experience with data warehousing technologies such as PostgreSQL, Redshift, or Snowflake
- Experience with ETL frameworks and creating scalable, reliable data pipelines using tools such as Apache Airflow, Talend, or similar
- Programming proficiency in languages like Python or Java for data processing tasks and automation
- Excellent problem-solving skills, with the ability to troubleshoot and resolve complex data-related issues
- Strong communication skills and the ability to work collaboratively in a fast-paced environment.ring, or a related field
- Prior experience in the FinTech industry is a plus
Desirable
- Experience in the fintech industry or a deep understanding of credit-building products
- Experience with business intelligence BI tools like Looker, Omni, or similar
- Familiarity with machine learning pipelines and model deployment
What the job involves
- We are seeking a Senior Data Engineer to join our team. As our first data engineer, you’ll play a critical role in building the data infrastructure that will power our data-driven decision-making process
- You will work closely with our engineering team to ensure the data architecture you design, build and maintain can support the high-volume, high-velocity data we process
- Build our data foundation: Design, develop, and implement scalable data pipelines, data warehouses, and ETL processes to handle large volumes of data from multiple sources (e.g. customer applications, credit card transactions)
- Data-driven decision-making: Enable real-time and batch processing of customer and credit data to support product development, risk management, and responsible lending decisions
- Collaborate across teams: Work closely with product, risk management, customer service, and compliance teams to ensure that data is available, clean, and actionable for business operations
- Optimise and scale: Build systems that scale with Bits' growth as we expand our customer base and data complexity, optimising for performance, cost, and efficiency
- Data governance and security: Ensure data systems comply with regulatory requirements (e.g., GDPR) and uphold data privacy and security best practices
- Support risk and underwriting: Develop tools and processes to streamline data access for our underwriting team, providing them with accurate and timely data for credit risk assessments
- Automation and reporting: Work on automation of key data workflows and support data analytics teams by ensuring self-service capabilities for business intelligence reporting
- Be a key decision-maker: As a founding engineer, you will have significant input into the architecture, technology stack, and data strategy
Salary benchmarks
Our take
Oftentimes, the advice to those with low credit is to build it up with the careful use of high-interest credit cards. However, this comes with the obvious downside of being high risk as well as high reward. Bits, instead, helps people with low credit to improve their scores with a subscription store card that lets them access in-store savings while quickly raising their credit score.
Millions of people in the UK have difficulty accessing financial services due to their credit scores, so it is no surprise that a number of other startups like Pockit and Portify have emerged offering alternative products for this underserved group. Bits, however, stands out for its unique approach that doesn’t put people into any debt at all - with the company making no money on interest.
As Bits has grown, it has expanded its product and now reports to Equifax and TransUnion on top of Experian. Boasting 300,000 users and a strong rating on Trustpilot, it is clear the company has already made an impact and it will be interesting to see what it does in the future.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (2 rounds)
Sep 2020
$0.2m
SEED
Oct 2018
$0.2m
SEED
Total funding: $0.3m
Company HQ
London, UK
Leadership
Faisal Khalid
(Founder)A Harvard graduate in Economics, Faisal has over a decade of experience in major payment companies such as American Express. More recently, they founded Paysnapp, an online payment service for low income migrant workers which was acquired by VFD bank.
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