Data Engineer

WeAreTechWomen; Llandudno; Hybrid; GBP 45,000 - 70,000; Full time

Job summary

A leading tech company is seeking a Data Engineer to develop their software solution aimed at supporting clients with complex data transformation challenges. The ideal candidate will have experience in Python and SQL, as well as familiarity with ETL tools and data architecture. The role offers a hybrid working environment and focuses on building robust data pipelines and ensuring platform accessibility.

Benefits

Attractive bonus scheme

22 days annual leave

Company contributory pension plan

Flexible Private Medical care

Employee Assistance Program

Gym membership discounts

Tech, Travel and Fashion discounts

Qualifications

• Experience in designing and maintaining data transformations.
• Ability to write secure performant code in Python and SQL.
• Familiarity with data architecture including data warehousing.

Responsibilities

• Develop data platform infrastructure for orchestration and processing.
• Create modular systems for data transformations.
• Build robust data pipelines with a focus on maintainability.

Skills

Data transformation design

Python programming

SQL optimization

ETL tools (Airflow)

RDBMS experience (PostgreSQL, Oracle)

NoSQL databases (Neo4j, Elastic)

Data architecture & modelling

Docker

CI/CD knowledge

DevOps practices

Tools

Docker

Git

Azure Data Factory

Databricks

Kubernetes

Job description

Job Summary

The Data Engineer plays an important role in the development of our software solution, used by our clients to help them with their complex data transformation challenges. Our system combines the latest ML based techniques with logic-based transformation, overseen by domain experts, to provide innovative solutions. This role supports the development of the data system focusing on orchestration, resilience and scaling. The role may also support the implementation of the systems, including deployment and integration with clients’ own data stores, processes and workflows.

Team Description

Data Hub is a dynamic team of scientists and developers who solve complex problems. We provide leading edge technology solutions and services to solve our clients’ data transformation and analytics challenges across geothermal, environmental, hydrocarbon and mineral exploration. You will be based in one of our hub locations (Crawley or Llandudno) and you will work alongside our teams of data engineers, machine learning engineers, software engineers and subject matter experts. We offer a hybrid working arrangement and remote working can be considered.

You will be based in one of our hub locations (Crawley or Llandudno) and you will be working alongside our teams of data engineers, machine learning engineers, software engineers and subject matter experts. We offer a hybrid working and remote working can be considered.

Key Responsibilities

• Contribute to the development of our data platform infrastructure. This includes our orchestration systems, data processing logic and the interactions between system components.
• Help develop a flexible framework for data transformations by creating a modular system where new transformation logic can be easily developed and integrated into our product offering.
• Build robust data pipelines with a focus on dynamic, end-to-end, metadata driven solutions that consider downstream application/UI data access patterns, maintainability, monitoring, access control etc.
• Influence our choice of architecture and technology. Communicate design ideas and solutions clearly through architectural diagrams and documentation to both technical and non-technical stakeholders.
• Awareness of best practices in software and data engineering, writing secure, performant, and maintainable code (Python, SQL). Minimise technical debt and optimise performance where it matters.
• Partner with data analysts, data scientists, and other end-users to understand their requirements and ensure the platform and its data are accessible, reliable, and meet project delivery needs.
• Share your work and best practices; collaborate with others; ensure what we build and how we build it aligns to our ambition for growth.

Qualifications and Experience

Required:

• Previous experience of designing, building and maintaining data transformations in a system or product setting.
• Ability to write secure and performant code in Python and SQL, and optimise queries and data pipelines.
• Significant experience using orchestrators and ETL tools, especially Airflow.
• Significant RDBMS experience (PostgreSQL, Oracle). Experience with NoSQL databases (e.g. Neo4j, Elastic) or Vector databases is beneficial.
• Data architecture experience relating to data modelling, data warehousing and schema design (3NF, dimensional modelling, medallion architecture).
• Experience using Docker, VCS (Git, GitLab) and knowledge of CI/CD.
• Enthusiastic attitude towards learning and the flexibility to adapt to new challenges or changes in direction.

Preferred:

• Knowledge of DevOps and DataOps best practices.
• Kubernetes deployment experience.
• Microsoft Azure and cloud native data technologies, e.g. Azure Data Factory, Databricks.
• RESTful API / GraphQL.
• Infrastructure as Code.
• Previous experience building web applications with knowledge of web frameworks, HTTP, networking, security, etc.

Benefits Package

• Highly attractive bonus scheme.
• Initial 22 days annual leave with future increases, complemented by a flexible buying and selling holiday program.
• Company contributory pension plan.
• Flexible Private Medical & Dental care tailored to suit individual or family needs.
• Employee Assistance Program to support our staff.

We Care about our Staff and Environment

We recognise the importance of work life balance for our employees, which is supported through our flexible working and relaxed dress code policies. We recognise and actively support the wellbeing of our staff through many different initiatives; social club events, spontaneous reward events throughout the year.

• Discounts schemes, including Gym membership and a cycle purchase scheme.
• Discounts on nationwide restaurants, cinema tickets and days out through our benefits platform.
• Tech, Travel and Fashion discounts all available through our benefits platform.

We encourage and actively support a strong sense of community, through volunteering and various company initiatives, as well as a strong company commitment to protecting our environment through sustainable solutions, energy saving and waste reduction enterprises.

Our Hiring Process

At Viridien, we are committed to delivering a respectful, inclusive, and transparent recruitment experience.

Due to the high volume of applications we may not be able to provide individual feedback to every applicant. Only candidates whose qualifications closely match the role criteria will be contacted for an interview. We aim to share personalized feedback with those who progress to the first round of interviews and beyond.

If you require reasonable adjustments to fully participate in the application or interview stages, please contact your recruiter directly. We see things differently. Diversity fuels our innovation, and we are committed to equal employment opportunities for all professionals.