Strong Middle Data Engineer

About the Position

We are seeking a Strong Middle Data Engineer to join our global investment management company in Sofia, Bulgaria. This role focuses on building AI-ready data foundations, ensuring the safe and scalable adoption of AI within a regulated financial firm.

Responsibilities

• Provide first-level data support to portfolio managers, researchers, traders, engineers, and data scientists across the firm.
• Lead the onboarding and integration of a wide range of financial and alternative datasets into the data lakehouse.
• Design and build ETL pipelines using industry-standard and proprietary technologies.
• Proactively identify and resolve data quality issues before they affect downstream users.
• Own and enhance security master content and identifier mapping tools.
• Manage market data permissions, improve usage tracking, analyze usage patterns, and optimize cost attribution and charge models.
• Curate and maintain a metadata catalogue and knowledge base, and support data lineage and governance.
• Automate daily tasks wherever possible and help build a scalable data ingestion and management framework.
• Learn the details of the various vendor data sources the firm uses and act as a subject matter expert on selected projects.
• Comply with all company policies on risk, compliance, and confidentiality, and escalate risk issues to the appropriate level.

Requirements

• 3+ years of experience in a data management, data engineering, or analyst role.
• Strong academic record and a higher education degree with a high mathematical and computing content, such as Computer Science, Mathematics, or Engineering.
• 2+ years of experience with data and data wrangling in a finance or finance-related firm.
• Experience with ETL pipelines and data lakehouse concepts.
• Programming skills in Python and SQL.
• Strong problem-solving skills.
• Strong analytical skills and strong written and verbal communication skills.
• Self-organized, with the ability to manage time across multiple projects and competing business priorities.
• Familiarity with data from financial data aggregators such as Refinitiv, FactSet, S&P, IHS, or Bloomberg.
• Working knowledge of databases, Linux/UNIX, Git, and Jira.
• Interest in or exposure to alternative, ESG, and market data.
• Commitment to excellence, integrity, and personal accountability, including escalating issues when appropriate.
• Client focus: understands internal stakeholders, speaks their language, and manages their expectations.
• Original and innovative thinking, with a positive attitude and an interest in continuously building new skills.
• Comfortable in an entrepreneurial environment, and a collaborative, diligent team member.
• Passion for using science, technology, and data to improve the investment process.

We Offer

• Opportunity to work with a leading global investment management company.
• Hybrid work model.
• A chance to be part of a team focused on building AI-ready data foundations.
• Competitive benefits package.

About the Company

At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual.

Apply Now

If you are passionate about data engineering and want to make a significant impact in a leading investment management company, we encourage you to apply for this exciting opportunity.

APPLY NOW

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