Data Engineer

hackajob; Bath; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading data analytics firm in Bath is hiring a Data Engineer to build and maintain data pipelines for risk index data. The ideal candidate should have strong Python skills and experience with ETL frameworks, Docker, and AWS. You will collaborate with teams to improve data quality and streamline workflows, contributing to a culture of innovation and inclusivity.

Benefits

Work flexibility

Career development opportunities

Inclusive workplace culture

Qualifications

• Proven track record of developing in Python.
• Experience building ETL frameworks.
• Good understanding of git and collaborative coding.

Responsibilities

• Design, build, and optimize data pipelines.
• Collaborate with data teams for seamless data flow.
• Improve data quality and reliability.

Skills

Python

ETL development

Data analysis libraries (numpy, pandas)

Git

Tools

Docker

AWS

Linux command line

Job description

hackajob is collaborating with Verisk to connect them with exceptional tech professionals for this role.

Job Description

As a Data Engineer at Maplecroft, you will be tasked with building and maintaining the automated pipelines responsible for the continuous delivery of our risk index data that form our Maplecroft’s Global Risk Data.

Responsibilities

Design, build, and optimize data pipelines with Python.

Streamline and scale data workflows using Metaflow, Prefect, AWS and proprietary data services

Collaborate with data scientists, analysts, and developers to ensure seamless data flow and implementation of bespoke company methodologies

Improve data quality, reliability, and accessibility across teams.

Deliver high-quality, maintainable well-tested code that meets business requirements

Enable a consistent approach to our data production pipeline

Qualifications

Required

A proven track record of developing in Python

An ability to meet pipeline requirements through an applied understanding of good data acquisition, transformation and manipulation techniques

Established experience of building ETL frameworks and tooling

Knowledge of common Python data analysis libraries (numpy, pandas)

Familiarity with Agile software development practices

Good understanding of git and working collaboratively on team-level code base

Useful to have

Familiarity working with geospatial data within Python (GDAL, rasterio, shapely)

Knowledge of cloud technologies and platforms such as AWS

Experience Using Docker Or Other Container Orchestration Technologies

Experience of the Linux command line and basic Linux server administration skills

About Us

For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.

At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed.

For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland. We value learning, caring and results and make inclusivity and diversity a top priority. In addition to our Great Place to Work Certification, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer and Best Employer for Women, testaments to the value we place on workplace culture.

We’re 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.

Verisk Businesses

Underwriting Solutions — provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision

Claims Solutions — supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences

Property Estimating Solutions — offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient

Extreme Event Solutions — provides risk modeling solutions to help individuals, businesses, and society become more resilient to extreme events.

Specialty Business Solutions — provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance

Marketing Solutions — delivers data and insights to improve the reach, timing, relevance, and compliance of every consumer engagement

Life Insurance Solutions - offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group.

Verisk Maplecroft — provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger

Verisk Analytics is an equal opportunity employer.

All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.

Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.