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- Tasks: Join our team to build data models and enhance visualisation for informed decision-making.
- Company: Copper is a leading player in blockchain technology, driving innovation since 2018.
- Benefits: Enjoy 27 days holiday, health insurance, remote work support, and wellness perks like Headspace.
- Why this job: Be part of a dynamic team shaping the future of data in fintech and blockchain.
- Qualifications: Basic SQL knowledge and a desire to learn BI tools and data analytics are essential.
- Other info: Experience in a start-up environment is a plus; we value ambition and growth.
The predicted salary is between 28800 - 43200 £ per year.
Having established market-leading products with a large client base since Copper's launch in 2018, our engineering team has remained at the forefront of blockchain technology, setting standards for the cryptocurrency infrastructure globally. The Data Engineering team extends upon this to provide critical data services to the organisation. Through innovative data management and analytics, we enable our teams to make informed, data-driven decisions to drive growth, reduce risk and improve operational efficiencies.
Copper is hiring for an ambitious individual to join the growing Business Intelligence team. We are looking for a candidate who adopts best practice principles to deliver the insights required to make data driven decisions. You will contribute to and enhance the data warehouse and Business Intelligence visualisation capabilities and help refine our data strategy. You will have wide-ranging responsibilities to help us execute on our data strategy, building platform capabilities as well as end user reports.
Key Responsibilities of the role:- Building financial, risk and general Business Intelligence data models and reports.
- Support and enhance data visualisation to ensure consistent user experience.
- Provide support for ad-hoc reporting requests.
- Work in collaboration with the reporting lead to promote tools adoption and a strong data culture across the company, through relevant frameworks, processes, and training.
Essential:
- Desire to learn BI report modelling and data visualisation techniques.
- Desire to learn data analytic techniques (data cleansing, data manipulation).
- Basic SQL knowledge working with relational databases.
- Basic knowledge of data warehousing concepts.
Desirable:
- Working knowledge of BI reporting tools (Looker, Tableau, PowerBI).
- Working knowledge of data warehouse technologies (Snowflake, BigQuery).
- Code versioning (Github integration and automation).
- Experience with Agile and Scrum Technologies.
- Familiarity with dbt and Airflow is an advantage.
- Experience working in a start-up or scale up environment.
- Experience working in the fields of financial technology, traditional financial services, or blockchain/cryptocurrency.
- Data Management and governance experience.
- Holidays: 27 days per annum paid holiday, in addition to bank holidays.
- Years of Service Days: Employees are awarded one additional day of paid time off per year of service (up to three years).
- Vitality Health: Medical Insurance, Dental Insurance, Audiology Cover, Optical Cover, Menopause Support.
- Headspace subscription for stress management and mindfulness.
- Home Working Energy Support Scheme: monthly top-up of £60 or £75.
- Pension up to 10% matched contribution to our company pension scheme via Smart Pensions.
- Life Insurance cover: Four times your base salary.
- EAP: access unlimited mental health consultations and a 24/7 confidential helpline.
- Sponsored Learning and Development opportunities.
- Regular company events and social activities.
In return for everything you can bring to Copper, we can offer you an exciting, challenging role in a fast-growing and dynamic business, with career opportunities and a welcoming working environment. If you think you have everything we're looking for and more, then we'd love you to apply for the opportunity.
Associate Data Engineer employer: Copper.co
Contact Detail:
Copper.co Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate Data Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in data engineering and business intelligence. Understanding the current landscape of tools like Looker, Tableau, and PowerBI will not only help you during interviews but also show your genuine interest in the role.
✨Tip Number 2
Network with professionals in the blockchain and fintech sectors. Engaging with industry experts on platforms like LinkedIn can provide insights into the company culture at Copper and may even lead to referrals.
✨Tip Number 3
Brush up on your SQL skills and practice building data models. Since basic SQL knowledge is essential for this role, demonstrating your ability to manipulate and query data effectively can set you apart from other candidates.
✨Tip Number 4
Showcase any experience you have with Agile methodologies. If you've worked in a start-up or scale-up environment before, be ready to discuss how you adapted to fast-paced changes and contributed to team success.
We think you need these skills to ace Associate Data Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Associate Data Engineer position. Familiarise yourself with key terms like data modelling, BI reporting tools, and data warehousing concepts.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise any knowledge of SQL, data visualisation tools, and your willingness to learn new techniques.
Craft a Compelling Cover Letter: Write a cover letter that showcases your enthusiasm for the role and the company. Mention specific projects or experiences that demonstrate your ability to contribute to the Business Intelligence team and your understanding of blockchain technology.
Showcase Your Learning Mindset: In your application, express your desire to learn and grow within the role. Highlight any relevant courses or self-study you've undertaken in data analytics, BI tools, or related fields to show your commitment to professional development.
How to prepare for a job interview at Copper.co
✨Show Your Passion for Data
Make sure to express your enthusiasm for data engineering and analytics. Talk about any personal projects or experiences that demonstrate your desire to learn BI report modelling and data visualisation techniques.
✨Familiarise Yourself with Relevant Tools
Before the interview, take some time to explore BI reporting tools like Looker, Tableau, or PowerBI. Even if you have basic knowledge, showing that you've done your homework can impress the interviewers.
✨Understand the Company’s Data Strategy
Research Copper's data strategy and how the Business Intelligence team contributes to it. Being able to discuss how you can enhance their data warehouse and visualisation capabilities will show that you're a good fit for the role.
✨Prepare for Technical Questions
Brush up on your SQL skills and be ready to answer questions related to data warehousing concepts. You might also want to review Agile and Scrum methodologies, as these are relevant to the role.
