Data & Analytics Engineer

Who we are?

Silverfin is a cutting-edge cloud software solution built by accountants, for accountants.

Founded in 2013, Silverfin was created to solve the frustrations of manual, error-prone processes in analysing financial data and compliance. From day one, we’ve been a cloud-first platform with an open API architecture, leveraging structured data to transform how accountants work.

Our mission is simple: to enhance and support the accountancy profession through AI and automation, ensuring accountants remain relevant and respected in the future of finance.

In 2023, Silverfin became part of the Visma Group, joining one of Europe’s leading providers of cloud software. This partnership strengthens our ability to innovate and expand our impact within the accountancy industry.

Today, Silverfin is trusted by over 1000 firms across 16 countries. Our clients include all of the Big 4 accounting firms, as well as leading global networks like BDO, PKF, Baker Tilly, Grant Thornton, and Moore.

Headquartered in Ghent, with offices in London, Luxembourg, Mont-Saint-Guibert, and Gouda (NL), we’re a team of over 180 people - including a diverse remote engineering team working across multiple time zones - all working together to drive innovation in accounting.

How would you support our success?

Your role

As our Data & Analytics Engineer, you will own data at Silverfin and be the face of data in the company. You will be the person teams turn to for data they can trust, and the person who asks whether our current setup is the best one for where we are going. Our Data team has a growing mandate in the business, and data sits at the heart of it. This role moves data from a support function to a strategic one.

You will report directly to the VP Finance and work alongside our external data consultant. As our internal data specialist, you will take the initiative, build data products that teams trust, and shape the long-term data roadmap.

Key Impact Areas:

• Data Strategy & Ownership: Own our data landscape end to end, from sources and pipelines to models and dashboards, and shape a long-term data roadmap that serves every department.
• Data Governance: Put clear ownership, definitions, quality standards and access rules in place, so the whole business works from one trusted version of the truth.
• Data Platform & Engineering: Build and run reliable, scalable pipelines and data models on our cloud stack, and propose improvements to our architecture and tooling.
• Business Partnership & Insight: Work with teams across the company to understand their needs and turn them into data products, including Looker dashboards people actually use.
• AI & Innovation: Follow what is happening in data and AI, and bring the developments that matter into how Silverfin works with data.

Your responsibilities

Data Strategy & Leadership:

• Define and drive Silverfin's data roadmap together with the VP Finance, aligned with company priorities and the needs of every department.
• Critically assess our current data setup, tools and processes, and propose improvements, simplifications or alternatives.
• Act as the go-to person and ambassador for data across Silverfin, represent data in cross-functional discussions and grow data literacy in the business.
• Own delivery of the internal data backlog (pipelines, data models, dashboards, data quality checks)

Data Engineering & Platform:

• Design, build and maintain data pipelines and integrations from our source systems into BigQuery, using Cloud Functions, fivetran and Airbyte, with GitLab for version control and deployment.
• Develop and maintain robust, well-documented data models that support scalable and accurate reporting.
• Monitor the health, performance and cost of the data platform, and resolve issues before they reach the business.
• Lead the move away from Metabase, consolidating reporting into another solution without loss of data or insight for business users.

Data Governance & Quality:

• Set up and run a data governance framework covering data ownership, KPI definitions, data quality checks and access management, in line with Visma Group standards.
• Create and maintain a data catalogue and clear documentation of sources, metrics and models.
• Make sure data is handled in line with GDPR and our information security policies.

Business Partnership & Reporting:

• Talk to teams across the business to understand their questions and needs, and translate them into data solutions.
• Build and maintain dashboards and reports in Looker, and enable teams to answer their own questions.
• Work with our external data consultant to agree priorities and divide delivery.

AI & Innovation:

• Keep up with developments in data engi