Position: Middle/Senior Data Engineer
Company: Ralabs
Category: Data Science
Experience required: 3y
English level: intermediate

**What is this project about?**

Capitalise.com is an award winning financial marketplace for accountants with over 1,200 firms using the platform both as a SaaS platform and on the free version.

It’s an award-winning ongoing project based in the UK. We have been actively working on this project for more than two years. The product is an investment platform for small and medium-sized businesses, where users can apply for financial assistance or find investors willing to support them. The main idea is to find a perfect match between clients and investors.

So far, we have 20+ services / databases, some of them is-as ETL process. We’re using Metabase to represent data on charts and analytics.

**Your role will be to?**

As a Data Engineer, you will be helping us make the most of our growing collections of data. You will grow and support our data warehouse, helping our customers make better decisions with your data analysis and reporting, and play a pivotal role in the research, design, and implementation of predictive and machine learning models.
**
What will be your responsibilities?**

You will be responsible for designing solutions to solve complex analysis requirements using a mixture of technologies you have expertise in. You will help define and evolve how we build analysis and machine learning to transform our data and help us find answers to our questions.

**Requirements**

-3 years of experience as a Data Engineer/Scientist, Data Analyst, or Data Ops Engineer;
-Experience with Python, R, or similar programming languages (PHP, Rust, Scala, etc);
-Experience with Apache Airflow
-Good understanding and experience with at least one data language (e.g MySQL, Postgres, Mongo);
-Experience with GIT or similar version control;
-Experience with machine learning techniques (classification, regression, decision trees et al);
-Experience working in Scrum/Kanban/XP environments;
-A genuine interest in data, analytics, machine learning, and programming;
-Experience writing and maintaining complex SQL queries.
-At least intermediate strong level of English.
**
Responsibilities**

-Contribute towards the development of our data warehouse;
-Improving data warehouse, by building pipelines and adding transformations;
-Maintaining and improving efficiency and accuracy of data extraction, transformation and loading (ETL);
-Automating and integrating our data into processing pipeline;
-Work on analysis requirements from various internal stakeholders;
-Research and develop solutions to overcome complex analytics challenges;
-Creating learning/mathematical models that resolve our requirements.
-Prediction through modelling and machine learning;

**We Offer**

-Flexible working hours (full-time, 8 hours working day);

-No time-tracking systems, screenshots, bureaucracy;

-20 days of paid annual vacation;

-15 days of paid sick leaves;

-Ability to join bi-annual retreat at Portugal with all team members;

-Possibility to use vacation during Probation;

-Days off on all Ukrainian government holidays;

-Quality workstations. You can choose a Macbook or any other laptop.

-Social package, including medical insurance, sports compensation, educational budget, free English classes, psychological training sessions;

-Mentorship program (get a mentor or become a one);

-Loyalty program 100 - we provide $100 per year for education;

-Last but not least - dynamic environment with a low level of bureaucracy.