Data Engineer

Are you looking for the next professional opportunity, that will challenge and advance your career? Join our team now

Tickmill is looking to hire a Data Engineer to mainly design and implement data integration solutions for data extraction, transformation, and loading (ETL) into Data Lakes or Data Warehouses, leveraging modern cloud-based platforms.

About Tickmill.  

Tickmill is an award-winning, multi-regulated broker offering a wide range of asset classes including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies and bonds, as well as Exchange Traded Derivatives (Futures & Options).

The Tickmill Group was established in 2014, and employs over 270 individuals through its offices in London, Cyprus, Estonia, South Africa and several other regional offices globally.

Our philosophy is based on trust, transparency, and diversity, reflected in both our workplace culture and outstanding customer support. Our employees, a multilingual team of highly skilled professionals from every continent, are the backbone of the company. Their hard work and dedication are what makes it possible to rank among the best in the industry. Tickmill offers a competitive benefits package, hybrid work model, team-building events, and many opportunities for professional growth.

What the job looks like?

The Data Engineer will have the chance to:

• Design and implement data integration solutions for data extraction, transformation, and loading (ETL) into Lakehouses or Data Warehouses, leveraging modern cloud-based platforms.
• Build and maintain robust, well-organized data models to enable effective data analysis and insights.
• Develop efficient import procedures for consolidating, storing, and analyzing data from diverse sources across the organization.
• Contribute actively to the ongoing design and development of the organization's data infrastructure.
• Translate business requirements into innovative and effective solutions to meet both immediate and long-term data analytics needs.

What will you need to be able to do the job?

• Bachelor's or Master's degree in computer science, Data Science, or a related field.
• Minimum 3 years of experience in a similar role, ideally within the financial services sector.
• Strong expertise in SQL and data warehouse design principles (preferably Star Schema, Semantic Models) and data modeling tools (e.g. Tabular Editor).
• Demonstrated business acumen with excellent analytical, logical, and problem solving abilities.
• Experience designing and executing multistep pipelines (Azure Synapse or Databricks knowledge is a strong plus) to facilitate data movement across various data stores.
• Proven ability to work closely with product management and content teams to create impactful visualizations.
• Excellent command of English, both written and spoken, with strong communication and collaboration skills.
• Familiarity with Agile development methodology, DevOps and DataOps principles and best practices

Preferred Qualifications

• Familiarity with the Azure cloud ecosystem (e.g. Azure Synapse) and Databricks
• Knowledge in data visualization and dashboard development using tools like Power BI, Tableau, or similar reporting platforms
• Experience in Financial Markets

By joining us, you can expect:

• A Unique Opportunity for a career in a global, fast-growing company.
• Attractive remuneration package based on qualifications and experience (including 13th salary and Discretionary Bonuses to reward exceptional performance).
• Opportunities to learn and grow through our "Employee Training & Development program".
• Medical Insurance Cover, which includes Outpatient, Inpatient, and Dental Care.
• Multiple events to bond with the team and the group through Quarterly/Semestrial Team Activities for all the Company.
• Participation in our welfare investment and savings plan through our Provident Fund Scheme.
• Birthday and Loyalty benefits.

Make your next Career step and apply NOW

*Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.