At a Glance
- Tasks: Develop and maintain data integrations and pipelines for innovative geoscience solutions.
- Company: Dynamic tech team solving complex data challenges in a fun, collaborative environment.
- Benefits: Competitive salary, hybrid work, generous leave, wellness support, and flexible benefits.
- Other info: Opportunities for career growth and a relaxed dress code in a diverse workplace.
- Why this job: Join us to tackle real-world data problems and grow your skills in a supportive team.
- Qualifications: Experience in data engineering, Python, SQL, and a passion for learning new technologies.
The predicted salary is between 50000 - 60000 £ per year.
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 Llandudno, North Wales in a hybrid setting, 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, including orchestration systems, data processing logic and 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.
- Communicate design ideas and solutions clearly through architectural diagrams and documentation to both technical and non-technical stakeholders.
- Apply best practices in software and data engineering, writing secure, performant, and maintainable code (Python, SQL), minimizing technical debt and optimizing 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 work and best practices; collaborate with others; ensure alignment to company growth ambitions.
Qualifications and Experience
- Essential experience developing data integrations with geoscience or other scientific data types, particularly in oil and gas and/or mining domains.
- Previous experience designing, building and maintaining data transformations in a system or product setting.
- Ability to write secure and performant code in Python and SQL, and to optimize 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.
- Data architecture experience relating to data modelling, data warehousing and schema design (3NF, dimensional modelling, medallion architecture).
- Experience with Docker, VCS (git, Gitlab) and knowledge of CI/CD.
- Enthusiastic attitude towards learning and ability 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 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 – change a holiday for another day of your choice.
- Relaxed dress code policy.
Equal Employment Opportunity
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. Create a brighter future for yourself while taking on some of the world’s most complex geoscience challenges.
Data Engineer employer: CGG Services (UK) Limited
Join a forward-thinking company in Llandudno, North Wales, where as a Data Engineer, you'll be part of a dynamic team dedicated to solving complex data transformation challenges. We offer a collaborative and informal work culture that prioritises employee growth, with opportunities for learning and development, alongside competitive salaries, flexible working arrangements, and a comprehensive benefits package designed to support your wellbeing and work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills in real-time! If you get the chance, ask for a technical interview or coding challenge. It’s a great way to demonstrate your expertise and problem-solving abilities.
✨Tip Number 3
Prepare for those tricky questions! Brush up on common data engineering scenarios and be ready to discuss how you’d tackle them. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It shows you're genuinely interested in joining our team and helps us keep track of your application.
We think you need these skills to ace Data Engineer
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 excited about the role and how your background aligns with our team’s goals. Keep it informal but professional, and let your personality come through.
Showcase Your Technical Skills:We want to see your technical prowess! Include specific examples of your experience with ETL tools, data architecture, and any cloud technologies you've worked with. This will help us understand how you can contribute to our projects.
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 awesome team!
How to prepare for a job interview at CGG Services (UK) Limited
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data integration, especially in the geoscience or mining domains. Be ready to discuss specific projects where you've designed and maintained data transformations, as this will show your practical experience and understanding of the challenges involved.
✨Show Off Your Coding Skills
Prepare to demonstrate your coding abilities in Python and SQL. You might be asked to solve a problem on the spot, so practice writing secure and performant code. Familiarise yourself with optimising queries and data pipelines, as this is crucial for the role.
✨Familiarise Yourself with Tools and Technologies
Get comfortable with the tools mentioned in the job description, like Airflow for orchestration and Docker for containerisation. If you have experience with CI/CD practices, be ready to discuss how you've implemented these in past projects.
✨Communicate Clearly and Collaboratively
Since the team values collaboration, practice explaining your design ideas and solutions clearly. Use architectural diagrams if possible, and be prepared to engage with both technical and non-technical stakeholders during the interview. This will showcase your ability to work in a dynamic team environment.
