Senior Data Integration Engineer

Job description

We are seeking a self-driven and experienced Senior Data Integration Engineer to join our dynamic team, working closely with cross-functional stakeholders to deliver high-quality, scalable data solutions. As a member of the Data Engineering chapter embedded within a high-performing squad, you will play a pivotal role in integrating and managing data to enable critical business processes.

Responsibilities

- Collaborate with the Product Owner, Scrum Master, Subject Matter Experts, and Development team to define, analyze, and refine user stories tracked in Jira

- Design, develop, and implement robust software solutions using a modern technology stack to meet LMI Tech's business needs

- Represent the Data Engineering chapter during technical discussions and ensure timely delivery of high-quality data solutions

- Support and configure data integration pipelines to ensure seamless data flows and address business requirements

- Demonstrate solutions and articulate their business value to stakeholders during sprint showcases

- Engage in troubleshooting, optimizing, and maintaining existing data solutions to address production issues and improve system performance

- Contribute to scalability, reliability, and performance improvements of data pipelines, storage solutions, and models

Requirements

- Bachelor’s degree in a technical discipline or equivalent professional experience

- 3+ years of experience as a Data Engineer working in professional environments

- Residence in Ukraine (remote work eligible only for candidates based in Ukraine)

- Knowledge of investment financial data to support application integrations with trading platforms and reporting

- Background in Agile Scrum frameworks and experience working in scaled Agile teams

- Expertise in SQL including programming views, stored procedures, and functions

- Expertise in Data Modeling and advanced competency in DWH and Snowflake

- Proficiency in Python with ETL tools such as Pandas/NumPy, including Python unit testing

- Proficiency in AWS resources and ecosystem, particularly with integration tasks

- Skills in CI/CD processes using tools like Bitbucket/GitHub and Bamboo, including pipeline development and maintenance

- Familiarity with business intelligence tools and reporting solutions

- Capability to demonstrate a proactive, team-oriented mindset with a commitment to delivering value through iterative development

- English language proficiency at an Upper-Intermediate level (B2) or higher

Nice to have

- Understanding of financial systems, general ledger accounting, or investment reporting

- Showcase of experience with financial systems in investment accounting or general ledger systems

- Background in integrating large-scale financial investment/ERP systems like Investment Management Warehouse or similar

- Demonstrated expertise delivering data solutions using AWS resources (S3, Glue, Athena, Lambda), Snowflake, SnapLogic, and orchestration tools

- Familiarity with Agile software development practices including sprint planning, story sizing, and retrospectives