Software Engineer

Software Engineer – Data Analytics Platform (Remote from Poland)

Location: 100% Remote (Poland)

Type: Full-time, B2B Contract

Monthly rate: £5500 – £6000 GBP

Recruitment process: 2–3 stages

Company stage: Established fintech with a startup mindset

About SilverTide

SilverTide is a leading fintech provider of buy-side brokerage software, working with some of the largest global hedge funds. Our platform supports portfolio managers in generating high-quality trade ideas, optimizing portfolios, and deriving market intelligence from large-scale financial data. We operate with the flexibility of a startup but backed by a stable foundation and proven market fit.

About the Role

We are seeking a Software Engineer to join our Data Analytics Platform team. You will be responsible for developing, scaling, and maintaining critical data systems that power our analytics stack. This includes orchestrating complex data pipelines, integrating market data feeds, optimizing storage and compute layers, and supporting advanced visualisation applications used by trading and analytics teams.

This role offers the opportunity to take ownership of technical components, work directly with data-focused stakeholders, and contribute to the architecture of a product used by elite financial institutions.

Responsibilities

• Design, build, and maintain scalable ETL pipelines using Python.
• Integrate and manage real-time and historical financial data feeds.
• Optimize data storage formats, compute efficiency, and query performance.
• Collaborate with analytics and product teams to support new data use cases.
• Build and support internal data APIs and visualisation layers.
• Ensure observability and monitoring for all critical pipelines.
• Write clear, maintainable documentation and contribute to best practices.

Must-Have Qualifications

• 3–7 years of professional experience in software or data engineering.
• Strong programming skills in Python (clean code, modularity, testing).
• Experience with data manipulation tools such as Pandas, Polars, or similar.
• Familiarity with orchestration frameworks (e.g., Airflow, Prefect, Dagster).
• Solid understanding of data modelling, transformations, and performance tradeoffs.
• Comfort working with Git and modern development workflows.

Nice-to-Have Skills

• Experience with cloud platforms (AWS, GCP, or Azure).
• DevOps tooling knowledge: CI/CD, Docker, Kubernetes.
• Familiarity with Plotly Dash or similar frameworks for data visualisation.
• Exposure to columnar file formats and cloud-native data warehouses.
• Understanding of data versioning, lineage, and governance.

What We Offer

• Fully remote role with flexible working hours.
• Competitive B2B monthly rate (£5500–£6000).
• High autonomy and direct impact on product development.
• Access to a modern tech stack and tooling.
• A collaborative, transparent, and low-bureaucracy work culture.
• Opportunities for skill development through team knowledge-sharing and technical mentorship.

Our Hiring Process

1. Intro Call – Overview of the role and expectations.
2. Technical Interview – Practical coding and architecture-focused discussion.
3. Final Meeting – Meet the broader team, culture fit, Q&A.

Who This Role is For

This role is ideal for engineers who want to work on real-world data challenges without being confined to narrow scopes. If you enjoy working in pragmatic, agile teams, and prefer building solutions that have direct business impact in finance and analytics, this is a strong opportunity.