Data Engineer

Tickmill is looking to hire a Data Engineer to design and implement data integration solutions for data extraction, transformation, and loading (ETL) into Data Lakes or Data Warehouses, leveraging modern cloud-based platforms. The successful candidate will have the opportunity to work in a global, fast-growing company with a competitive benefits package, hybrid work model, team-building events, and many opportunities for professional growth.

Requirements

• 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

Benefits

• Attractive remuneration package based on qualifications and experience.
• Opportunities to learn and grow through our “Employee Training & Development program”.
• Health Insurance.
• Hybrid Work Flexibility.
• Multiple events to bond with the team and the group.
• Birthday and Loyalty benefits.