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Contractor Python Engineer (Data Platform Team)

About Lendable

Lendable is on a mission to make consumer finance amazing: faster, cheaper, and friendlier. We're building one of the world’s leading fintech companies and are off to a strong start:

  • One of the UK’s newest unicorns with a team of just over 500 people

  • Among the fastest-growing tech companies in the UK

  • Profitable since 2017

  • Backed by top investors including Balderton Capital and Goldman Sachs

  • Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot)

So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days.

We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes.

Join us if you want to

  1. Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1

  2. Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo

  3. Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting

About the Role

As a Contract Data Platform Engineer, you’ll help shape and scale our data infrastructure, making analytics faster, more reliable, and cost-efficient. You’ll work with AWS, Snowflake, Python, and Terraform, building tooling, onboarding new data sources, and optimising pipelines.

You'll collaborate closely with teams across the business, ensuring our platform is secure, scalable, and easy to use.

 

Team mission

We want to maximise business value by optimising the analytics pipeline, enhancing Lendable's competitive advantage through data utilisation. 

This means our Data Platform is designed to streamline the efficiency of analysis in extracting insights from data, while also ensuring cost control, compliance, and security.

What will you be doing?

This is a non-exhaustive list of the activities you would engage with in the role:

  • Develop new tooling for product teams to boost their efficiency

  • Work with the wider team in maintaining, evolving and scaling data infrastructure solutions on AWS and Snowflake.

  • Onboard new ingestion sources and maintain the smooth running and monitoring.

  • Ensure platform robustness through automated testing and monitoring of data pipelines aligned to the expected scaling of Lendable.

  • Collaborate with stakeholders to translate business requirements into scalable technical solutions.

  • Optimise existing CI/CD pipelines for faster cycle times and increased reliability.

  • Implement security best practices for data management and infrastructure on cloud platforms.

  • Design and deploy infrastructure as code to manage cloud resources efficiently.

  • Assist in the troubleshooting and resolution of production issues to minimise downtime and improve user satisfaction.

Skills we are looking for

Must have

  • Proficiency in software development, particularly in Python or a similar language.

  • Solid engineering practices, including automated testing, deployment systems, and configuration as code.

  • Experience with cloud services such as AWS, GCP, or equivalent (preference for AWS - S3, IAM, SNS, SQS, Athena, Glue, Kinesis).

  • Familiarity with infrastructure as code, preferably Terraform.

  • Knowledge of columnar databases, such as Snowflake.

  • Experience in developing and optimising CI/CD pipelines, with a preference for GitHub Actions.

  • Excellent communication skills for effective collaboration with business analysts and stakeholders, ensuring technical solutions meet business needs.

  • Experience with data ingestion tools, like Fivetran.

  • Experience with Data Orchestrator tools (Airflow, Prefect, etc.)

Nice to have

  • Expertise in data transformation, particularly with DBT.

  • Exposure to data visualisation tools.

  • Experience with  Data Observability tools (Montecarlo, Great Expectations, etc.)

  • Experience with  Data Catalog tools (Amundsen, OpenMetadata, etc.)

  • Exposure to deploying applications with Kubernetes.

Life at Lendable

  • The opportunity to scale up one of the world’s most successful fintech companies.

  • Best-in-class compensation, including equity.

  • You can work from home every Monday and Friday if you wish - on the other days, we all come together IRL to be together, build and exchange ideas.

  • Enjoy a fully stocked kitchen with everything you need to whip up breakfast, lunch, snacks, and drinks in the office every Tuesday-Thursday.

  • We care for our Lendies’ well-being both physically and mentally, so we offer coverage when it comes to private health insurance

  • We're an equal-opportunity employer and are looking to make Lendable the most inclusive and open workspace in London

Check out our blog!

Average salary estimate

$80000 / YEARLY (est.)
min
max
$70000K
$90000K

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What You Should Know About Contractor Python Engineer (Data Platform Team), Lendable

Lendable is looking for a Contractor Python Engineer to join our dynamic Data Platform Team in London! If you have a passion for technology and thrive in a fast-paced environment, this is the right opportunity for you. At Lendable, we're on a mission to revolutionize consumer finance and build a world-class fintech company. As a Contractor Python Engineer, you'll play a crucial role in shaping and scaling our data infrastructure to ensure that analytics are faster, more reliable, and cost-efficient. You’ll be using cutting-edge tools such as AWS, Snowflake, and Terraform to develop new solutions, optimize data pipelines, and onboard new data sources. Working closely with various teams, you’ll ensure that our platform remains secure, scalable, and user-friendly. Your expertise in software development and cloud services will enable you to make a tangible impact from day one. With your proficiency in Python and knowledge of CI/CD pipelines, you'll help maintain and evolve our infrastructure while collaborating with stakeholders to deliver exceptional technical solutions. Beyond just coding, this role will allow you to take ownership and deliver meaningful change, all while working with some of the brightest minds in the industry. Plus, enjoy flexible working arrangements, competitive compensation, and a supportive team culture dedicated to making Lendable a fantastic place to work. If you’re eager to make finance faster, cheaper, and friendlier, then Lendable is the place for you!

Frequently Asked Questions (FAQs) for Contractor Python Engineer (Data Platform Team) Role at Lendable
What are the responsibilities of a Contractor Python Engineer at Lendable?

As a Contractor Python Engineer at Lendable, your primary responsibilities will include developing new tooling for product teams, maintaining and scaling our data infrastructure on AWS and Snowflake, onboarding new data ingestion sources, and optimizing existing CI/CD pipelines. You'll also be tasked with ensuring platform security, robustness, and automation in monitoring data pipelines, making your role crucial in enhancing the overall business value through data utilization.

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What qualifications are required for the Contractor Python Engineer position at Lendable?

To be a successful Contractor Python Engineer at Lendable, you should have strong proficiency in software development, especially in Python or similar languages. Experience with cloud services (preferably AWS), infrastructure as code (Terraform), and a knowledge of columnar databases, like Snowflake, are essential. Additionally, you should have solid engineering practices in automated testing and deployment systems, along with excellent communication skills to work effectively with business analysts and stakeholders.

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How does Lendable support the professional growth of a Contractor Python Engineer?

Lendable supports the professional growth of its Contractor Python Engineers by fostering a collaborative environment that encourages continuous learning and development. You'll have the opportunity to work alongside exceptional professionals within your team, participating in knowledge-sharing sessions and workshops. Moreover, Lendable emphasizes innovation and resourcefulness, allowing you to take ownership of projects that significantly impact our business and develop your technical expertise further.

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What technologies should a Contractor Python Engineer be familiar with at Lendable?

A Contractor Python Engineer at Lendable should be well-versed in various technologies, including Python for software development, AWS for cloud services, Terraform for infrastructure management, and Snowflake as a columnar database. Familiarity with CI/CD tools, particularly GitHub Actions, data orchestration tools like Airflow, and data ingestion platforms such as Fivetran would also be beneficial to fulfill the responsibilities of the role effectively.

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What is the work culture like for a Contractor Python Engineer at Lendable?

The work culture for a Contractor Python Engineer at Lendable is vibrant, collaborative, and inclusive. Employees are encouraged to be resourceful and innovative in their approach to problem-solving. With flexible working arrangements that allow for remote work and team gatherings, Lendable fosters a supportive and engaging workplace where employees enjoy access to great amenities and well-being initiatives. It's a place where you can thrive both professionally and personally.

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Common Interview Questions for Contractor Python Engineer (Data Platform Team)
Can you describe your experience with Python and how it relates to the Contractor Python Engineer role at Lendable?

When answering this question, highlight your specific projects or tasks where you've used Python. Discuss any relevant frameworks or libraries you've worked with, and how you applied Python to solve complex data problems. Tailor your examples to reflect how your experience can add value to Lendable's data platform initiatives.

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How have you implemented best practices for CI/CD pipelines in your past projects?

Discuss specific CI/CD practices you have implemented, such as automated testing or deployment processes. Provide an example of a challenge you faced related to CI/CD and how you resolved it, ensuring you emphasize the outcome and the efficiency gained, especially in a cloud environment like AWS.

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What cloud services have you worked with, and how did you utilize them in your projects?

Be prepared to talk about the various cloud platforms you've been involved with, ideally emphasizing AWS if applicable. Explain how you have leveraged AWS services such as S3, Glue, or Kinesis in your previous roles, and how these experiences would benefit your work at Lendable.

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How do you approach optimizing data pipelines for performance and reliability?

Detail your methodology for identifying bottlenecks within data pipelines. Share practical techniques you've used in the past, such as profiling data processing times or implementing caching strategies, and explain how these optimizations can enhance the data platform at Lendable.

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Can you provide an example of how you collaborated with stakeholders to deliver a technical solution?

Provide a specific instance where you worked with team members or stakeholders to gather requirements and deliver a solution. Discuss your communication strategies and how you ensured the technical outcomes met business needs while navigating any challenges along the way.

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What strategies do you use for automated testing in your development process?

Outline your approach to automated testing, including testing frameworks and strategies you've implemented. Discuss how this contributes to the reliability of your code and its importance in a fast-paced company like Lendable, where stability and scalability are key.

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How would you ensure compliance and security in a cloud-based data platform?

Talk about the security measures you've previously implemented, such as IAM roles or encryption methods within AWS. Emphasize the importance of adhering to compliance regulations and how you keep your cloud infrastructure secure against threats.

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How familiar are you with data ingestion tools, and which have you used?

Mention any data ingestion tools you've worked with, like Fivetran or similar platforms. Describe how you utilized these tools to streamline data workflows and your experience troubleshooting ingestion issues.

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What experience do you have with Snowflake or similar columnar databases?

Discuss your familiarity with Snowflake, outlining specific projects where you've utilized it. Talk about the advantages of using Snowflake for data warehousing and how your experience will contribute to building Lendable’s data architecture.

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How do you stay updated with trends and technologies in data engineering?

Show your proactive approach to professional development by naming specific sources you follow, like blogs, webinars, or conferences. Share how you've applied new knowledge in your work or contributed to team discussions at your previous positions.

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Founded in 2014, Lendable offers loans to consumers by matching them with investors. It aims to make loan applications easier and quicker by using technology to automate credit decisions and give borrowers instant, personalized interest rates. Len...

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Contract, hybrid
DATE POSTED
March 7, 2025

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