Lead Data Analytics Engineer

Copper is a digital asset technology company dedicated to helping institutional investors safely acquire, trade, and store crypto assets.

Built and led by Dmitry Tokarev, a software and financial engineering specialist, the firm provides a comprehensive suite of custody, trading and settlement solutions that reduce counterparty risk and bring greater capital and operational efficiency to digital asset markets. At the heart of Copper's offering is Multi-Party Computation (MPC) technology – the gold standard in secure custody. Copper’s multi-award winning custody system is unique in that it can be connected to centralised exchanges, DeFi applications and even staking pools without the assets leaving the custody.

Built on top of this state-of-the-art custody, ClearLoop™ is the first solution in the market that overcomes a growing industry challenge; counterparty risk with exchanges. This solution underpins a full prime services offering, connecting global exchanges and enabling customers to trade and settle directly from the safety of their MPC-secured wallets. By reducing settlement time for transfers to a few milliseconds (without blockchain network dependency) and offering enhanced security measures, ClearLoop™ is rapidly reshaping the way asset managers trade and manage capital.

In addition to industry-leading security certifications, Copper has one of the strongest insurance coverages in the industry from an A+ rated insurer, positioning the firm as the partner of choice for institutions seeking to safeguard their assets.

 

About the role

Copper is hiring for an ambitious individual to establish and grow a new BI Data function. Having established market-leading products with a large client base since our launch in 2018, we are now focused on developing state-of-the-art Data and Analytics capabilities.

This is a key hire for Copper, with the potential to make a significant impact. As Copper’s first Data hire, you will have wide-ranging responsibilities to help us execute on our data strategy. You will be asked to lead the implementation of data warehouse and BI visualisation tools, help refine our data strategy, as well as hire and grow a Data team. 

This role is a great fit for someone who is equally at ease with the operational aspects of the role as they are providing the leadership needed to establish best practise.

 

Key responsibilities

• Lead the advancement of our Data Warehousing Roadmap through prioritisation and resource allocation
• Develop BI technical architecture, build data models and strategic data services
• Engage key stakeholders to explain our capabilities, understand their requirements and manage key relationships through effective communication
• Work in collaboration with the data product lead to promote tools adoption and a strong data culture across the company, through relevant frameworks, processes, and trainings
• Hire, grow and lead a data team including data engineers and analysts

 

Your experience, skills and knowledge

• Minimum 5 years’ experience as a senior data engineer
• Significant data warehousing experience (knowledge of and experience with Kimball Dimensional, Data Vault and other related DW methodologies)
• Experience with Snowflake or similar data warehouse software (e.g., Google BigQuery, Amazon Redshift)
• Experience working with large datasets, building, and optimising ‘big data’ pipelines and ETL workflows
• Experience with ingesting a variety of data sources (Real time/batch data) and data formats (JSON/binary/CSV)
• Expert SQL knowledge, experience working with relational databases and working familiarity with a variety of databases
• Strong analytic skills related to working with unstructured datasets
• Data Engineering best practices and standards
• Data Management and governance
• Experience building processes supporting data transformation, data structures, metadata, dependency and workload management
• Creative and innovative self-starter with high agency
• Strong verbal and written communication skills

Desirable

• Team leadership experience
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Code versioning (GitHub integration and automation)
• Experience with scripting languages such as Python or R
• Working knowledge of message queuing and stream processing
• Experience with Apache Spark or similar technologies
• Experience with Agile and Scrum methodologies
• Familiarity with dbt and Airflow
• Experience working in a start-up or scale up environment
• Experience working in the fields of financial technology, traditional financial services, or blockchain/cryptocurrency

 

What we offer

• Work with talented colleagues at the forefront of financial technology
• Competitive salary
• Annual bonus incentive
• Employee Growth Share incentive
• 25 days holiday a year plus bank holiday entitlement
• Private medical and dental care
• Pension with matched contribution, up to 10% of salary
• Home Working Energy Support Scheme
• Breakfast and refreshments in the office
• And more!

 

In return for everything you bring to Copper, we offer an exciting, challenging role in a fast-growing and dynamic business, with career opportunities and welcoming working environment.

Copper is an equal opportunity employer. We embrace diversity and equal opportunities in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be. So, bring us your experience, perspectives, and skills. It is in our differences that we will continue to grow and ensure Copper is setting the institutional standard for digital assets.

 

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