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- Tasks: Support data governance initiatives and ensure data reliability across the organisation.
- Company: Join Kraken, a leading crypto company with a mission to accelerate global crypto adoption.
- Benefits: Fully remote work, diverse team, and opportunities for professional growth in the crypto space.
- Why this job: Be part of a pioneering team shaping the future of crypto and data governance.
- Qualifications: 2+ years in data governance or engineering, strong Python and SQL skills.
- Other info: Embrace a dynamic environment with a focus on innovation and collaboration.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Building the Future of Crypto. Our Krakenites are a world‑class team with crypto conviction, united by our desire to discover and unlock the potential of crypto and blockchain technology. Kraken is a mission‑focused company rooted in crypto values. As a Krakenite, you’ll join us on our mission to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion.
For over a decade, Kraken’s focus on our mission and crypto ethos has attracted many of the most talented crypto experts in the world. As a fully remote company, we have Krakenites in 70+ countries who speak over 50 languages. Krakenites are industry pioneers who develop premium crypto products for experienced traders, institutions, and newcomers to the space. Kraken is committed to industry‑leading security, crypto education, and world‑class client support through our products like Kraken Pro, Desktop, Wallet, and Kraken Futures. Become a Krakenite and build the future of crypto!
The team: Join our Data Platform Team at Kraken! We are looking for a Data Governance Engineer to join the Data Platform team. This role sits at the intersection of data engineering, platform operations, and governance enablement, helping ensure our data is discoverable, well‑documented, auditable, and reliable across the organization. You will support the foundational capabilities that allow teams to trust and use data at scale — including metadata management, lineage, data quality, automation, and self‑serve analytics. This is a great role that enables you to grow in the Data Governance and Data Engineering career.
The opportunity:
- Support metadata and catalog initiatives, including column‑level tagging, dataset documentation, and ownership attribution.
- Contribute to data lineage and governance practices, helping improve audit readiness and visibility across pipelines and products.
- Support and maintain Airflow DAGs, including simple pipeline changes, operational fixes, and automation tasks.
- Assist with CI/CD workflows related to data pipelines, deployments, and platform tooling.
- Help improve data pipeline reliability and consistency, partnering with senior engineers on enhancements and fixes.
- Contribute to automation of reports and dashboards, enabling self‑serve analytics for internal teams.
- Support adoption of data governance standards across teams, including documentation, processes, and tooling.
- Assist internal stakeholders with ad‑hoc data questions, process improvements, and platform‑related enhancements.
Skills you should HODL:
- 2+ years of experience in data governance, data engineering, analytics engineering, or a closely related technical role.
- Hands‑on exposure to data governance concepts, including metadata management, data lineage (dataset‑ and column‑level), data catalogs (e.g. DataHub or similar tooling), audit and compliance requirements.
- Experience supporting or contributing to governance initiatives, such as documentation standards, ownership models, or data quality practices.
- Hands‑on experience with data governance tools like DataHub or similar at a major multi‑source high volume data system.
- Strong Python fundamentals, used for automation, metadata ingestion, or governance‑related tooling.
- Solid SQL skills for data discovery, validation, and audit support.
- Basic understanding of how data pipelines work end to end, sufficient to reason about lineage, dependencies, and data quality.
- Familiarity with Airflow or workflow orchestration in a support or operational capacity.
- A curious, problem‑solving mindset and willingness to grow in a fast‑moving data platform environment.
Nice to haves:
- Dashboards or BI tools (e.g. Looker, QuickSight, Tableau).
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Kraken is powered by people from around the world and we celebrate all Krakenites for their diverse talents, backgrounds, contributions and unique perspectives. We hire strictly based on merit, meaning we seek out the candidates with the right abilities, knowledge, and skills considered the most suitable for the job. We encourage you to apply for roles where you don’t fully meet the listed requirements, especially if you’re passionate or knowledgeable about crypto! As an equal opportunity employer, we don’t tolerate discrimination or harassment of any kind.
Data Governance Engineer employer: Kraken
Contact Detail:
Kraken Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Governance Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the crypto space, especially those at Kraken. Use LinkedIn or Twitter to connect and engage with them. A friendly chat can sometimes lead to job opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data governance projects or any relevant work. This could be a GitHub repo or a personal website. When you apply through our website, include this link to give us a taste of what you can do!
✨Tip Number 3
Prepare for the interview by diving deep into Kraken’s mission and values. Understand how data governance plays a role in achieving financial freedom and inclusion. We love candidates who align with our ethos and can articulate how they fit into our vision.
✨Tip Number 4
Follow up after your application! A quick message thanking the hiring team for their time can set you apart. It shows enthusiasm and keeps you on their radar. Remember, we’re all about building connections here at Kraken!
We think you need these skills to ace Data Governance Engineer
Some tips for your application 🫡
Show Your Passion for Crypto: When writing your application, let your enthusiasm for crypto and blockchain shine through! We love candidates who share our mission to accelerate global adoption, so don’t hold back on expressing why you’re excited about this industry.
Tailor Your Experience: Make sure to highlight your relevant experience in data governance and engineering. We want to see how your skills align with the role, so be specific about your past projects and how they relate to what we do at Kraken.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on communicating your qualifications effectively. Remember, less is often more!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Kraken
✨Know Your Data Governance Basics
Before the interview, brush up on key data governance concepts like metadata management and data lineage. Be ready to discuss how these principles apply to real-world scenarios, especially in a high-volume data environment like Kraken.
✨Showcase Your Technical Skills
Prepare to demonstrate your Python and SQL skills during the interview. You might be asked to solve a problem or explain how you've used these languages in past projects, so have some examples ready that highlight your technical prowess.
✨Understand Kraken's Mission
Familiarise yourself with Kraken's mission and values. Being able to articulate how your personal goals align with their mission of accelerating global crypto adoption will show your genuine interest in the role and the company.
✨Ask Insightful Questions
Prepare thoughtful questions about the Data Platform Team and their current challenges. This not only shows your enthusiasm for the role but also helps you gauge if the team is the right fit for you. Think about asking how they measure success in data governance initiatives.
