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Data Engineer - AcquiTech

Data Engineer - AcquiTech Team 

Hybrid in London, UK

The company

Fast, flexible finance empowers small businesses to manage their cash flow better and seize opportunities - making their business and the economy stronger as a whole. At iwoca, we do just that. We help businesses get the funds they need, when they need it, often within minutes. We’ve already made several billion in funding available to more than 100,000 businesses since we launched in 2012, and positioned ourselves as a leading Fintech in Europe. 

Our mission is to finance one million businesses. We’ll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science, and a 5-star customer service.

The team

The AcquiTech 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 be to work with our Sales team to attract new customers while also ensuring compliance with data privacy regulations, including unsubscribes and vulnerable population guidelines. 

The role

As the Sales team's first dedicated data engineer, while collaborating with the wider acquisition tech team, you will be responsible for leading sales tech initiatives. As well as being the bridge from the product & data science colleagues in the team, to the rest of tech. Initially, you will focus on facilitating the new sales acquisition model, responsible for lead selection and targeting. 

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

The requirements

Essential:

  • Solid Python software engineering experience.

  • Solid SQL experience.

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

Bonus:

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

  • Familiarity of designing, building, and managing relational databases. 

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

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

The salary

We expect to pay from £45,000 - £65,000 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.

Useful links:

iwoca Glassdoor Company Review
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iwoca DE&I Review
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CEO of iwoca
iwoca CEO photo
Christoph Rieche
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Average salary estimate

$55000 / YEARLY (est.)
min
max
$45000K
$65000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Engineer - AcquiTech, iwoca

Are you ready to take your career to the next level as a Data Engineer at AcquiTech? Located in the vibrant city of London, iwoca is on a mission to revolutionize finance for small businesses, helping them thrive with fast and flexible funding solutions. As the first dedicated data engineer for the Sales team, you’ll be at the forefront of innovation, driving growth through data engineering and cutting-edge technology. You’ll collaborate with the AcquiTech team, focusing on customer acquisition and playing a pivotal role in ensuring compliance with data privacy regulations. Your responsibilities will span from lead selection and targeting to integrating external APIs and developing internal tools. Proficiency in Python and SQL will be essential, as you’ll be engaged in feature engineering for machine learning models and database management. If you enjoy working in an unstructured, dynamic environment and possess a strong technical background, this is the perfect opportunity for you. To succeed, you should ideally have experience in designing, building, and managing relational databases, plus exposure to DevOps practices. At iwoca, we prioritize a culture of learning and professional growth, offering competitive salaries starting from £45,000 to £65,000 and an array of fantastic benefits. Join us, and let’s empower small businesses together!

Frequently Asked Questions (FAQs) for Data Engineer - AcquiTech Role at iwoca
What are the responsibilities of a Data Engineer at AcquiTech?

As a Data Engineer at AcquiTech, you'll be responsible for driving growth through various data engineering initiatives. This includes facilitating the new sales acquisition model, lead selection and targeting, as well as managing compliance with data privacy regulations. You’ll interact closely with the Sales team and collaborate with product and data science colleagues to enhance our customer acquisition strategies.

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What technical skills are required for the Data Engineer position at AcquiTech?

The essential technical skills for the Data Engineer role at AcquiTech include solid experience in Python and SQL. Additionally, proficiency in SQL-Alchemy, Scikit-learn, pandas, and PostgreSQL is a bonus. Familiarity with designing and managing relational databases and some exposure to DevOps practices such as containerization and CI/CD will further strengthen your application.

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What is the typical salary for a Data Engineer at AcquiTech?

The salary range for the Data Engineer position at AcquiTech starts from £45,000 and can go up to £65,000, depending on your experience and qualifications. The company is open-minded about salary discussions, so it encourages candidates to share their salary expectations during the application process.

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What benefits can a Data Engineer at AcquiTech expect?

Working as a Data Engineer at AcquiTech comes with a range of benefits including medical insurance, a private GP service, generous holiday allowances, and various wellness programs. Additionally, you'll receive a one-month fully paid sabbatical after four years, receive support for mental health, and enjoy company retreats and a learning and development budget.

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What is the work culture like for a Data Engineer at AcquiTech?

The culture at AcquiTech, part of iwoca, emphasizes learning, growth, and diversity. The company values team members' development and creates an inclusive environment where you can explore new interests. Regular events and activities contribute to a vibrant workplace culture that promotes collaboration and innovation.

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Common Interview Questions for Data Engineer - AcquiTech
Can you explain your experience with Python as a Data Engineer?

When asked about your experience with Python, be specific about projects you've worked on, emphasizing your technical skills and how you've employed Python to solve data-related challenges. Including examples of feature engineering or developing internal tools can illustrate your expertise.

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What SQL techniques do you utilize for data management?

To answer this question, discuss your familiarity with various SQL techniques such as joins, indexing, and performing complex queries. Provide examples of how you've utilized these techniques in previous roles to enhance data retrieval and management processes.

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How do you approach compliance with data privacy regulations?

Share your understanding of data privacy regulations and discuss any previous experience you have in ensuring compliance—such as implementing practices to manage unsubscribes or working with vulnerable populations. Highlight the importance of these practices in your role as a Data Engineer.

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Describe a project where you had to integrate external APIs.

In your response, detail the project scope and the APIs you worked with. Describe the challenges you faced during integration and how you resolved them. Make sure to explain the positive outcome of the integration and its impact on data flow.

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What role does feature engineering play in your data engineering process?

When discussing feature engineering, emphasize its significance in improving model performance. Provide a specific example of how you have applied feature engineering techniques in your past work to optimize machine learning models.

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How do you ensure data quality and validation in your work?

Explain your strategies for ensuring data quality, such as implementing validation checks and standardization procedures. Share an example of a situation where you identified a data quality issue and how you addressed it to maintain the integrity of the datasets.

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Have you had any experience with DevOps in a data engineering context?

Discuss any relevant experience you have with DevOps practices, such as CI/CD for deploying code. Mention specific tools you’ve used and how these practices have streamlined your workflow, increased efficiency, or improved collaboration.

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What database technologies are you comfortable working with?

When answering this question, list the database technologies you've worked with, such as PostgreSQL, MongoDB, or relational database management systems. Share specific examples of projects where you utilized these databases effectively.

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What steps would you take when faced with a complex data problem?

Outline your problem-solving methodology, which may include defining the problem, gathering data, analyzing patterns, and proposing solutions. Use a particular example to provide insight into how you have navigated complex data challenges in the past.

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How do you stay updated with the latest trends in data engineering?

Share the resources you utilize to keep your skills fresh—such as online courses, webinars, and industry publications. Mention any communities or forums you engage with to learn from peers or industry experts.

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iwoca allows small businesses to access the type of short-term funding previously only available to their larger peers. From taking advantage of new trade opportunities to bridging cashflow gaps, we believe flexible access to finance is crucial to...

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Full-time, hybrid
DATE POSTED
January 12, 2025

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