Lead Data Engineer
ArchitusLithuania2 days ago
Full-timeRemote FriendlyInformation Technology
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Architus specialises in connecting leading Fintech companies with top EU engineering talent, helping to build high-performing technology teams and establish a presence overseas. With offices in London, Vilnius and Kaunas, Architus has a strong track-record and impressive list of clients such as Invesco, Tide, Capital Group, Schroders, BNP Paribas, and HSBC.
The Opportunity
Architus is partnering with a leading company in AI-powered anti-money laundering and fraud detection. With over $100m in funding and clients including tier-1 banks, the company is growing fast and expanding internationally from its EU-based headquarters. Trusted by banks and payment providers worldwide, this organization combines traditional rules with explainable AI to detect financial crime more effectively while improving efficiency and reducing false positives.
As a lead engineer you'll join a mission-driven organization playing a vital role in the global fight against money laundering, fraud, and the financing of terrorism. The company offers a culture of trust, support, and professional growth—empowering individuals to make a real difference. You'll be part of an innovative, collaborative team that uses cutting-edge technology to build a safer financial world through data, AI, and engineering excellence.
About The Role
If you're enthusiastic about this opportunity and believe you're the right fit, we'd love to hear from you! Apply now and let's create something amazing together. We look forward to meeting the next Architus star!
The Opportunity
Architus is partnering with a leading company in AI-powered anti-money laundering and fraud detection. With over $100m in funding and clients including tier-1 banks, the company is growing fast and expanding internationally from its EU-based headquarters. Trusted by banks and payment providers worldwide, this organization combines traditional rules with explainable AI to detect financial crime more effectively while improving efficiency and reducing false positives.
As a lead engineer you'll join a mission-driven organization playing a vital role in the global fight against money laundering, fraud, and the financing of terrorism. The company offers a culture of trust, support, and professional growth—empowering individuals to make a real difference. You'll be part of an innovative, collaborative team that uses cutting-edge technology to build a safer financial world through data, AI, and engineering excellence.
About The Role
- Build and maintain scalable data infrastructure: Design, implement, and optimize our datalake and associated pipelines to support reporting, analytics, and machine learning workloads.
- Shape architecture and tooling: Lead discussions on data architecture, recommend tools and frameworks, and ensure the adoption of best practices for distributed data processing and orchestration.
- Data preparation and quality: Prepare datasets for internal and external business reporting, ensuring data quality, consistency, and accessibility
- Machine learning readiness: Collaborate with data scientists to prepare and optimize datasets for machine learning and advanced analytics.
- Collaborate across teams: Work closely with operations, data science, and business stakeholders to understand requirements and deliver solutions that align with their needs.
- Drive innovation: Explore and implement new technologies and methods to optimize data storage, processing, and access.
- Strong expertise in building data pipelines to support business critical reporting infrastructure.
- Strong experience with cloud platforms (AWS, GCP, Azure).
- Proficient in distributed data processing tools (e.g., Spark) and stream processing frameworks (e.g., Kafka, Flink).
- Strong understanding of lake house architectures and supporting technologies (e.g., Delta Lake, Iceberg, Hudi), query optimization tools (e.g., Trino, Presto), and orchestration tools (e.g., Airflow)
- Experience with database technologies (Elasticsearch, PostgreSQL). Knowledge of graph databases (e.g. Neo4j) is a plus
- Familiarity with reporting tools (e.g., Tableau, Power BI, Databricks Dashboards).
- Advanced Python programming skills.
- Hands-on experience with distributed machine learning frameworks and pipelines is a plus.
- Salary: Starting from €8,000 gross/month, depending on your experience (full-time only)
- Career Growth: Accelerate your professional journey by working with cutting-edge technologies in a truly global environment
- Holidays: Enjoy extra vacation days to recharge and unwind
- Workation: Work from anywhere in the world for up to 45 days per year
- Flexibility: Benefit from hybrid working options for a healthy work-life balance
- Workplace: A modern, pet-friendly office equipped with parking and plenty of snacks to keep you fueled and productive
- High-Spec Hardware: Brand-new, high-performance equipment provided to support your work from day one
- Team Environment: A dynamic, collaborative, and friendly working atmosphere
- Perks: Stay balanced with our wellness program, enjoy additional health insurance, plan for the future with 3rd-pillar pension benefits, and perform at your best with high-spec hardware
If you're enthusiastic about this opportunity and believe you're the right fit, we'd love to hear from you! Apply now and let's create something amazing together. We look forward to meeting the next Architus star!
Key Skills
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