At a Glance
- Tasks: Develop and maintain data integrations and pipelines for innovative projects.
- Company: Join Viridien, a forward-thinking tech company focused on sustainability.
- Benefits: Flexible working options, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative team environment with a focus on fun and rewarding work.
- Why this job: Make a real impact in solving complex environmental challenges with cutting-edge technology.
- Qualifications: Experience in data engineering, Python, SQL, and a passion for learning.
The predicted salary is between 40000 - 50000 £ per year.
Viridien 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.
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 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.
Principal Accountabilities:
- 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:
- Experience of developing data integrations with geoscience or other scientific data types.
- Experience with geospatially referenced data and experience with oil and gas and/or mining domains highly advantageous.
- 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.
- Experience of the following tools / technologies will also be beneficial: 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.
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 is 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-1 in Crawley employer: Viridien
At Viridien, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our dynamic team in North Wales or Crawley thrives in an informal environment where learning and growth are encouraged, offering employees the chance to work on cutting-edge technology solutions while enjoying the flexibility of hybrid or remote work options. With a strong commitment to diversity and inclusion, we ensure that every team member feels valued and empowered to contribute to our mission of creating a sustainable future.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer-1 in Crawley
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Viridien!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer-1 at Viridien.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Viridien.
✨Apply Directly through Our Website
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We think you need these skills to ace Data Engineer-1 in Crawley
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Viridien, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Viridien. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Viridien
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Viridien!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
