Remote Analytics Engineer (InsurTech, Contract, UK)

Evolvesquads; United Kingdom; Remote; GBP 40,000 - 80,000; Full time

Job summary

Join a forward-thinking company as a Senior Analytics Engineer, where you'll leverage your Python expertise to develop innovative data applications. In this role, you'll work with a dynamic team to create personalized content recommendation systems, utilizing cutting-edge technologies like React, GCP, and various Python frameworks. Enjoy the flexibility of remote work, a supportive health environment, and opportunities for career growth. This position not only offers a chance to work on long-term projects but also promotes a healthy work-life balance, allowing you to thrive both personally and professionally. If you're passionate about data and eager to make an impact, this role is for you.

Benefits

Flexible working hours

Remote work

Free English language classes

Health insurance

Career growth opportunities

Bonuses for employee referrals

Qualifications

• Experience in developing data applications and analytics applications.
• Proficiency in common Python frameworks like pandas and Flask.

Responsibilities

• Collaborate with the Data team to translate requirements into technical solutions.
• Document technical designs and explore new technologies.

Skills

Python

Data manipulation and transformation

Data applications development

Analytics applications development

Common Python frameworks and libraries

Tools

GCP

Azure

Git/Github

Maven

React/Typescript

PowerBI

Streamlit

Plotly

Tableau

Prefect

Airflow

Luigi

Job description

PROJECT DESCRIPTION:

Our broker platform is the core technology crucial to success – allowing us to evolve underwriting intelligently and unlock massive scale. We’re a multi-disciplined team, bringing together expertise in software and data engineering, full stack development, platform operations, algorithm research, and data science. Our squads focus on delivering high-impact features – we favour a highly iterative, analytical approach.

We’re looking for a Senior Analytics Engineer to join our team.

PROJECT STACK and TEAM:

This project team collaborates during regular working hours to develop and deploy a personalized content recommendation system. The team leverages technologies like React/Typescript, Python machine learning, HTML/CSS, Maven, Git/Github, and Kotlin/Java to deliver a high-quality solution meeting user requirements and industry standards.

MAIN REQUIREMENTS:

1. Python skills, capable of contributing/building packages. Developing data applications, analytics applications, data manipulation and transformation pipelines.
2. Use of common python frameworks and libraries: pandas, poetry, flask, pydantic, etc.
3. Experience in cloud-based environments, preferably GCP or Azure.

GOOD TO HAVE:

1. Experience using GCP suite incl. BigQuery and Storage Buckets.
2. Experience with data/task pipeline schedulers Prefect, Airflow, Luigi.
3. Experience developing data/analytics applications, reporting and visualisations (PowerBI, Streamlit, Plotly, Tableau).
4. Experience with data quality and control projects. Handling exceptions and interventions on data flows.

JOB RESPONSIBILITIES:

1. Work with the Data team to understand end-user requirements and translate them into an effective technical solution.
2. Document technical design and analysis work.
3. Explore new ideas and emerging technologies, develop prototypes quickly.
4. Uphold and advance the wider engineering team’s principles and ways of working.
5. Serve as a domain expert for one or more of our core technologies.
6. Mentor and coach colleagues in both engineering and business domain subjects.

SUMMARY:

• Long-term projects (1, 2, even 5+ years);
• Flexible working hours and remote work;
• FREE English language classes;
• Health working environment and projects that use advanced, cutting-edge technologies;
• Career growth opportunities;
• Bonuses for a personal recommendation of new employees’ new business;
• A working environment where you communicate and work directly with the Client.

This flexibility allows developers:

• A better work-life balance;
• Increased productivity;
• The ability to work any time around the clock;
• Reduction in commute time;
• Less sick days;
• Health insurance;
• More time with family and friends.

Job Category: Data Analysis, Data Engineer