Data Engineer in Crawley

Data Engineer in Crawley

Crawley Full-Time 30000 - 50000 £ / year (est.) Home office (partial)
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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.
  • Why this job: Make a real impact in the world while growing your skills in a fun environment.
  • Qualifications: Experience in data integration and coding in Python and SQL.
  • Other info: Dynamic team culture with opportunities for learning and career growth.

The predicted salary is between 30000 - 50000 £ 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.

Qualifications and Experience

Essential

  • 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. 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: CGG SA

At Viridien, we pride ourselves on being an exceptional employer that champions innovation and sustainability in a collaborative and dynamic work environment. Our commitment to employee growth is reflected in our tailored training programmes and flexible working arrangements, allowing you to thrive both personally and professionally. With competitive benefits, a focus on wellbeing, and a culture that values diversity and community engagement, joining our team means contributing to meaningful solutions while enjoying a rewarding career.
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Contact Detail:

CGG SA Recruiting 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 your experience with Python, SQL, and data transformations. Practice 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. This will help you stand out as a candidate who truly fits their culture.

✨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 joining the team at Viridien. Good luck!

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

Data Integration
Python
SQL
ETL Tools
Airflow
RDBMS
PostgreSQL
Oracle
NoSQL Databases
Data Architecture
Data Modelling
Schema Design
Docker
Version Control Systems (git, Gitlab)
CI/CD
Cloud Technologies (Microsoft Azure)

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data integrations, Python, and SQL, and don’t forget to mention any relevant projects or achievements that showcase your skills.

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background aligns with our mission at Viridien. Keep it engaging and personal!

Showcase Your Technical Skills: We love seeing your technical prowess! Include specific examples of your work with data pipelines, orchestration tools like Airflow, and any experience with cloud technologies. This will help us see how you can contribute to our team.

Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!

How to prepare for a job interview at CGG SA

✨Know Your Data Engineering Basics

Before the interview, brush up on your data engineering fundamentals. Make sure you can confidently discuss data transformations, orchestration systems, and the tools mentioned in the job description, like Python, SQL, and Airflow. Being able to articulate your experience with these technologies will show that you're a strong fit for the role.

✨Showcase Your Problem-Solving Skills

Viridien values innovative solutions to complex problems. Prepare examples from your past work where you've successfully tackled data integration challenges or optimised data pipelines. Use the STAR method (Situation, Task, Action, Result) to structure your responses and highlight your impact.

✨Familiarise Yourself with Their Projects

Take some time to research Viridien's projects and their focus areas, such as geothermal and environmental data. Understanding their mission and how your skills can contribute to their goals will help you tailor your answers and demonstrate genuine interest in the company.

✨Prepare Questions for Them

Interviews are a two-way street! Prepare thoughtful questions about the team culture, ongoing projects, and opportunities for growth within the company. This not only shows your enthusiasm but also helps you assess if Viridien is the right fit for you.

Data Engineer in Crawley
CGG SA
Location: Crawley

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