At a Glance
- Tasks: Develop and maintain ETL/ELT infrastructure while collaborating with analysts and data scientists.
- Company: Join iwoca, a tech company revolutionising finance for small businesses.
- Benefits: Flexible hours, medical insurance, generous holiday, and a learning budget.
- Other info: Dynamic culture focused on innovation, learning, and personal growth.
- Why this job: Make a real impact on data processes and help SMEs thrive.
- Qualifications: Experience in analytics engineering and strong SQL skills required.
The predicted salary is between 70000 - 100000 £ per year.
The company helps small businesses move fast by providing flexible and responsive finance solutions. Our smart technology, data science, and customer service ensure business owners can act with speed, confidence, and control. We have already supported 100,000 businesses with over £4 billion in funding, and our mission is to support one million SMEs in their defining moments.
You’ll join the Core Systems team, responsible for driving innovation by optimising development, building data systems, and continuously improving iwoca products. We follow Agile-inspired processes, using continuous integration and delivery.
We are transitioning our entire analytics warehouse to Snowflake to improve reliability and speed of accessing our wide data ecosystem. We run various ETL tasks using libraries such as NumPy, Scikit-learn, and Pandas. The aim is to integrate all to a single data warehouse using Snowflake and dbt.
We are looking for someone with experience in analytics engineering who can advise and implement high-quality ETL/ELT processes. You will collaborate with analysts, data scientists, and engineers to deliver and improve our data warehouse and processes.
The responsibilities include:
- Developing, constructing, testing, and maintaining ETL/ELT infrastructure.
- Implementing robust data testing frameworks in dbt to monitor and ensure data quality and integrity.
- Enabling product teams to self-serve data more effectively.
- Influencing and shaping the monitoring, observability, and reliability strategy for the data warehouse.
- Partnering with analysts, data scientists, and business stakeholders to understand data requirements.
- Troubleshooting emerging data and operational problems.
- Supporting teammates through knowledge sharing and mentoring.
The requirements include:
- Experience in implementing reliable and performant ETL/ELT pipelines.
- Experience with version control systems (e.g., Git) for dbt project management.
- Knowledge of CI/CD pipelines for analytics workflows.
- Experience with programming languages such as Python.
- Familiarity with data governance practices and frameworks.
- Professional experience in analytics engineering/data analytics.
- Solid understanding of SQL with hands-on experience with dbt and Snowflake.
- Comfortable implementing custom data solutions.
Bonus skills include advanced LookML knowledge, experience using Pandas, DevOps practices, and understanding of data science concepts.
The salary range is from £70,000 - £100,000. We encourage you to include your salary goals with your application.
At iwoca, we model our culture on independent thinking and evidence-based decisions. We prioritise learning and growth, providing autonomy to develop effectively.
We offer flexible working hours, medical insurance, a private GP service, generous holiday policies, and a learning and development budget.
Data Engineer - Core systems in London employer: Iwoca
At iwoca, we pride ourselves on being an exceptional employer that champions innovation and personal growth within a vibrant work culture. Our commitment to flexible working hours, comprehensive benefits including medical insurance and generous parental leave, and a strong focus on learning and development ensures that our employees thrive both personally and professionally. Join us in our London office, where you'll collaborate with passionate colleagues to drive meaningful change for SMEs while enjoying a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Core systems in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Iwoca!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer - Core systems at Iwoca.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Iwoca.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer - Core systems at Iwoca, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer - Core systems in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Iwoca, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Iwoca. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Iwoca
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Iwoca!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
