Data Engineer - Stratford-upon-Avon, Warwickshire, United Kingdom - Lorien

Description

Do you want to grow your expertise and experience and use your skills in a vibrant environment where teamwork, creativity, diversity, inclusivity, and technical excellence are expected and enjoyed?

This SaaS company are seeking someone who is eager to take their software engineering career to the next level.

This is an exciting role that offers a competitive remuneration package with excellent career and growth prospects.

An opportunity to join and help grow an organisation that is using modern technology to positively impact people and businesses all over the globe.

You will work collaboratively with other software engineers, from associates to principals, applying your technical and problem-solving capabilities to scale their applications.

You'll contribute to the organisation's high-quality data engineering practices, participating in technical design, implementation, testing, deployment, and ongoing support and maintenance of the data platform.

By going above and beyond implementing new features, the company focus on customer experience, building a high-quality, secure, and scalable data platform.

Continuous integration and automated production deployments.
Application health and availability monitoring.
Data platform design patterns driving robustness, scalability, and performance.

Working as part of an enthusiastic, fast-paced, and motivated agile data platform team that takes pride in delivering a high-quality platform.

Continually developing and improving the data pipelines and technologies.
Developing the Data Platform SDK.
Helping to shape and design new data products and features within a Data Mesh architecture.
Pairing with senior engineers to improve knowledge.
Data Modelling and Querying - Proficiency in designing and implementing data models, including star schemas and snowflake schemas. Expertise in SQL.
Data Processing Frameworks - Proficiency in designing and building data pipelines for data processing and transformation. Familiarity with scheduling tasks and jobs for data processing using basic tools or platforms. Proficiency in automating simple data workflows and ETL processes.
Data Quality and Governance - Knowledge of basic data governance principles and compliance requirements. Competence in implementing data quality frameworks and automated checks.
However other Cloud platforms like AWS/GCP are acceptable.
Coding Languages - Experience using Python with data (Pandas, PySpark) would be an advantage. Other languages such as C# would be beneficial but not essential.

If this role isn't quite what you are after but know someone who may be relevant, we offer a referral scheme for any successful recommendations.