Python Developer Contract

3 weeks ago

London, United Kingdom Element Materials Technology Full time

Imagine having the opportunity to lead the development of high-impact digital products with a world-class engineering team, all while working towards a greater purpose of making the world a better and safer place. Element, a well-established organization that touches billions of lives, is searching for a Data Engineer in London to help build a startup within our organization.
As a Data Engineer, you will work closely with a multidisciplinary Agile team to build high quality data pipelines driving analytic solutions. These solutions will generate insights from our connected data, enabling Element to advance the data-driven decision-making capabilities. This role requires deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows.
The ideal candidate is a skilled data / software engineer with experience creating data products supporting analytic solutions. They are an Agile learner, possess strong problem-solving skills, work as part of a technical, cross functional analytics team, and want to solve complex data problems and deliver the insights to enable our analytics strategy.
Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals
Solve complex data problems to deliver insights to help our businesses
Create data products for analytics and data scientist team members to improve their productivity
Advise, consult, mentor and coach other data and analytic professionals on data standards and practices
Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions
Lead the evaluation, implementation and deployment of emerging tools and processes for analytic data engineering in order to improve our productivity as a team
Bachelor degree in Computer Science, MIS, or Engineering preferred or eqivalent through professional experience
~5+ years of experience working in data engineering or architecture role

SQL and Non-SQL databases, such as PostgreSQL, Cassandra, MongoDB, and so on.
Kubernetes, Docker and container-based deployments
Developing data pipelines and workflows with Python
Developing solutions with cloud computing services in the data and analytics spaces
Experience with unstructured data/NLP (nice to have)
Data wrangling/feature engineering
When failure in use is not an option, we help customers make certain that their products, materials, processes and services are safe, compliant and fit for purpose. From early R&D, through complex regulatory approvals and into production, our global laboratory network of scientists, engineers, and technologists support customers to achieve assurance over product quality, sustainable outcomes, and market access.
We empower you to take charge of your career, and reward excellence and integrity with growth and development.
Industries across the world depend on our care, attention to detail and the absolute accuracy of our work. Diversity Statement
We are an equal opportunity employer that recognizes diversity and inclusion as fundamental to our Vision of becoming “the world’s most trusted testing partner”.
All suitably qualified candidates will receive consideration for employment on the basis of objective work related criteria and without regard for the following: age, disability, ethnic origin, gender, marital status, race, religion, responsibility of dependents, sexual orientation, or gender identity or other characteristics in accordance with the applicable governing laws or other characteristics in accordance with the applicable governing laws.
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