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iwoca

Data Engineer - AcquiTech

Reposted 2 Days Ago
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In-Office
London, Greater London, England
Mid level
In-Office
London, Greater London, England
Mid level
The Data Engineer will work with marketing and sales teams, focusing on data engineering and tooling to drive customer acquisition while ensuring data compliance.
The summary above was generated by AI
Data Engineer - Acquisition Tech team

Hybrid in London, UK

The company

Small businesses move fast. Opportunities often don’t wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that’s as flexible and responsive as they are.

That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed.

We’ve already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive.

The team

The Acquisition Tech team focuses on acquiring new customers through various channels and technologies. You’ll be responsible for driving growth through data engineering and tooling. Your primary focus will work with the marketing and sales teams to attract new customers while also ensuring compliance with data-privacy regulations, including unsubscribes and vulnerable person guidelines.

The role

The projects you’ll work on will be diverse and will demand a strong proficiency in multiple technologies, primarily Python and SQL. Your tasks may include feature engineering for machine learning models or data validation, integrating with external APIs, developing internal tools, creating REST APIs, and managing databases.

The requirements

Essential:

  • Python software engineering experience.

  • SQL experience.

  • Happy working in an unstructured, dynamic, and autonomous environment.

Bonus:

  • Mastery of SQL, Alchemy, scikit-learn, pandas, and PostgreSQL.

  • Experience designing, building, and managing relational databases.

  • Strong numerate background, i.e. maths, physics, comp-sci, engineering, etc.

  • DevOps exposure: i.e. containerization, continuous integration/deployment (CI/CD).

The salary

We expect to pay from £50,000 - £80,000 for this role. But, we’re open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews.

The culture

At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value diversity in thought and skill, and encourage you to explore new areas of interest to help us improve our products and services.

The offices

We put a lot of effort into making iwoca a brilliant place to work:

  • Offices in London, Leeds, and Frankfurt with plenty of drinks and snacks

  • Events and clubs, like bingo, comedy nights, yoga classes, football, etc.

The benefits

  • Medical insurance from Vitality, including discounted gym membership

  • A private GP service (separate from Vitality) for you, your partner, and your dependents.

  • 25 days’ holiday, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave

  • A one-month, fully paid sabbatical after four years.

  • Instant access to emotional and mental health support.

  • 3% Pension contributions and share options.

  • Generous parental leave and a nursery tax benefit scheme to help you save money.

  • Cycle-to-work scheme and electric car scheme.

  • Two company retreats a year, we’ve been to France, Italy, Spain, and further afield.

And to make sure we all keep learning, we offer:

  • A learning and development budget for everyone.

  • Company-wide talks with internal and external speakers.

  • Access to learning platforms like Treehouse.

Top Skills

Alchemy
Pandas
Postgres
Python
Scikit-Learn
SQL

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