Data Engineer in Crawley

Data Engineer in Crawley

Crawley Full-Time 28800 - 48000 £ / year (est.) No working from home possible
Viridien

At a Glance

  • Tasks: Join us to develop innovative data solutions and tackle complex challenges.
  • Company: Viridien, a forward-thinking tech company focused on sustainability.
  • Benefits: Competitive salary, flexible working, wellness support, and exciting social events.
  • Other info: Dynamic team culture with opportunities for growth and environmental initiatives.
  • Why this job: Make a real impact in data engineering while learning from industry experts.
  • Qualifications: Experience in data integration and coding in Python and SQL is essential.

The predicted salary is between 28800 - 48000 £ per year.

Viridien (www.viridiengroup.com) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges.

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 to our clients. This role supports the development of the data system focusing on orchestration, resilience and scaling. Additionally, we aim to provide a framework on which our data transformation modules can be developed by a growing team of junior engineers and technical SMEs. The role may also support the implementation of the systems, including deployment and integration with clients’ own data stores, processes and workflows.

Data Hub is a dynamic team of scientists and developers who love solving complex problems. We provide leading edge technology solutions and services to solve our clients’ data transformation and analytics challenges across a range of industries including geothermal, environmental, hydrocarbon and mineral exploration. You will be working in an open and collaborative environment with opportunities to learn, grow, and develop. We have an informal team culture and believe work should be fun and rewarding. You will be based in one of our hub locations (North Wales or Crawley), hybrid or remote will be considered, and you will be working alongside our teams of data engineers, machine learning engineers, software engineers and subject matter experts.

Key Responsibilities

  • Plan, develop, deploy and maintain connectors and integrations between our data system and clients systems, such as systems of record or downstream consumption channels.
  • 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 and maintain robust data pipelines with a focus on dynamic, end-to-end, metadata driven solutions that consider a wide range of implications, such as downstream application/UI data access patterns, maintainability, monitoring, access control etc.
  • Influence our choice of architecture and technology. You will be expected to 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). You will have a keen eye for minimising technical debt and optimising 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.

Essential Qualifications and Experience

  • Experience of developing data integrations with geoscience or other scientific data types, particularly in oil and gas and/or mining domains.
  • 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 ability to optimise queries and data pipelines.
  • Experience using orchestrators and ETL tools, especially Airflow.
  • Significant RDBMS experience (PostgreSQL, Oracle).
  • Experience with other database types such as NoSQL database (e.g. Neo4j, Elastic) or Vector also 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 together with wide-ranging knowledge of web frameworks, HTTP, networking, security etc.

Why work with us?

  • Competitive salary commensurate with experience.
  • Highly attractive bonus scheme.
  • Hybrid model and flexible working with up to 2 days at home.
  • Initial 22 days annual leave with future increases, complemented by a flexible buying and selling holiday program.
  • Company pension with generous employer contribution.
  • Wellbeing Unmind app – puts you in control of your mental health.
  • A flexible benefits platform with numerous discount schemes - gym membership, restaurants, cinema tickets, and much more!
  • Regular social club events, spontaneous reward events throughout the year.
  • Cycle purchase scheme.
  • Flexible Private Medical & Dental care programmes.
  • Bank Holiday Swap - our holiday swap program allows you to change it for another day of your choice!
  • Relaxed dress code policy.

Learning and Development

At Viridien, we foster a culture of continuous learning and provide tailored training programs through our Learning Hub, designed to enhance technical, commercial, and personal growth.

We Care About The Environment

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 receive, 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 do, however, aim to share personalized feedback with those who progress to the first round of interviews and beyond. We are also dedicated to ensuring that our hiring process accessible to all. If you require any reasonable adjustments to fully participate in the application or interview stages, please don’t hesitate to contact your recruiter directly.

We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.

Data Engineer in Crawley employer: Viridien

Viridien is an excellent employer located in Crawley, offering a dynamic work environment where innovation thrives. With a strong focus on employee well-being and growth, the company provides a hybrid work model, competitive salaries, and attractive perks such as a bonus scheme. Joining our team means being part of a collaborative culture that values your contributions and supports your professional development.

Viridien

Contact Details:

Viridien Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineer in Crawley

Tip Number 1

Network like a pro! Reach out to current employees at Viridien on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Data Engineer role. Personal connections can make a huge difference!

Tip Number 2

Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss Python, SQL, and data integration techniques. Practise explaining complex concepts in simple terms, as you'll need to communicate with both techies and non-techies.

Tip Number 3

Show off your passion for sustainability and innovation! Viridien is all about pushing boundaries for a better future, so be ready to share how your values align with theirs. Bring examples of projects where you've made a positive impact.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of the Viridien team. Good luck!

We think you need these skills to ace Data Engineer in Crawley

Data Integration
Python
SQL
ETL Tools
Airflow
RDBMS
PostgreSQL

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with data integrations and transformations, especially in the geoscience or mining sectors. We want to see how your skills align with our needs!

Show Off Your Technical Skills:Don’t hold back on showcasing your coding prowess! Mention your experience with Python, SQL, and any ETL tools like Airflow. We love seeing candidates who can write secure and performant code.

Be Clear and Concise:When describing your past projects, keep it straightforward. Use clear language to explain your role and the impact of your work. We appreciate applicants who can communicate complex ideas simply!

Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!

How to prepare for a job interview at Viridien

Know Your Data Engineering Basics

Before the interview, brush up on your data engineering fundamentals. Make sure you can confidently discuss concepts like data transformations, ETL processes, and orchestration tools like Airflow. Being able to explain how you've applied these in past projects will show your practical experience.

Showcase Your Coding Skills

Since the role requires writing secure and performant code in Python and SQL, be prepared to demonstrate your coding skills. You might be asked to solve a problem on the spot or discuss your approach to optimising queries. Practise common coding challenges beforehand to feel more confident.

Understand Their Tech Stack

Familiarise yourself with the technologies mentioned in the job description, such as PostgreSQL, Azure Data Factory, and Docker. If you have experience with similar tools, be ready to discuss how you've used them in your previous roles. This shows that you're not just a fit for the role but also eager to contribute from day one.

Prepare Questions for Them

Interviews are a two-way street! Prepare thoughtful questions about their data platform, team culture, and future projects. This not only demonstrates your interest in the role but also helps you gauge if the company aligns with your career goals and values.