At a Glance
- Tasks: Develop and maintain data integrations and pipelines for innovative software solutions.
- Company: Join Viridien, a forward-thinking tech company focused on sustainability and innovation.
- Benefits: Enjoy competitive salary, flexible working, and a range of wellness perks.
- Other info: Embrace a relaxed culture with opportunities for growth and community involvement.
- Why this job: Make a real impact in data engineering while collaborating with a dynamic team.
- Qualifications: Experience in data integration, Python, SQL, and a passion for learning.
The predicted salary is between 50000 - 60000 £ 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.
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 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.
Team Description
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. 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.
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 Llandudno employer: Viridiengroup
At Viridien, we pride ourselves on being an exceptional employer, offering a dynamic and collaborative work environment in Llandudno, North Wales. Our commitment to employee growth is reflected in our tailored training programmes and flexible working arrangements, ensuring that every team member can thrive both personally and professionally. With competitive salaries, attractive benefits, and a strong focus on sustainability and community engagement, we create a workplace where innovation and well-being go hand in hand.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Llandudno
✨Tip Number 1
Network like a pro! Reach out to current employees at Viridien on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can talk confidently about Python, SQL, and data integration. We want to see your passion for data engineering shine through!
✨Tip Number 3
Show off your problem-solving skills! Be ready to discuss past projects where you tackled complex data challenges. We love hearing about how you’ve made an impact in previous roles.
✨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 our team at Viridien.
We think you need these skills to ace Data Engineer in Llandudno
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Data Engineer role. Highlight your experience with data integrations, Python, and SQL, and show how your skills align with our needs at Viridien.
Showcase Your Projects:Include specific examples of projects you've worked on that relate to data transformations or integrations. This helps us see your practical experience and how you tackle complex challenges.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon where possible. We appreciate a well-structured application that’s easy to read!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Viridiengroup
✨Know Your Tech Stack
Make sure you’re familiar with the technologies mentioned in the job description, especially Python, SQL, and any ETL tools like Airflow. Brush up on your knowledge of RDBMS and NoSQL databases, as well as data architecture principles. Being able to discuss these confidently will show that you're ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare examples from your past experiences where you've tackled complex data transformation challenges. Be ready to explain your thought process and the impact of your solutions. This will demonstrate your ability to contribute to the team’s dynamic problem-solving environment.
✨Communicate Clearly
Practice explaining technical concepts in simple terms, as you’ll need to communicate with both technical and non-technical stakeholders. Use diagrams or examples to illustrate your points during the interview. Clear communication is key in a collaborative setting like this one.
✨Emphasise Your Learning Attitude
Viridien values continuous learning, so be prepared to discuss how you stay updated with industry trends and technologies. Share any recent courses, certifications, or projects that showcase your enthusiasm for growth and adaptability in the ever-evolving tech landscape.