Senior Data Platform Engineer

Stelle nicht auf LinkedIn

🕒 vor 4 Monaten

🇬🇧 Vereinigtes Königreich – Remote

⏰ Vollzeit

🟠 Senior

🚰 Dateningenieur

🇬🇧 UK-Skilled-Worker-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit UK-Skilled-Worker-Visa gesponsert.

Jetzt Bewerben

Ähnliche Remote-Jobs finden

E-Mail-Benachrichtigung für neue Jobs einrichten

📊 Überprüfen Sie Ihre Lebenslauf-Bewertung für diese Stelle

Verbessern Sie Ihre Chancen auf ein Vorstellungsgespräch, indem Sie Ihre Lebenslauf-Bewertung vor der Bewerbung überprüfen.

Lebenslauf hochladen

Depop

WebsiteLinkedInAlle Stellen

201 - 500 Mitarbeiter

🛍️ eCommerce

👗 Mode

🌍 Soziale Wirkung

eCommerce • Fashion • Social Impact

Depop ist der community-gesteuerte Marktplatz für zirkuläre Mode, auf dem jeder begehrte, erschwingliche Second-Hand-Mode kaufen, verkaufen und entdecken kann. Zusammen mit seiner Community von etwa 35 Millionen registrierten Nutzern verfolgt Depop das Ziel, Mode zirkulär zu gestalten – indem es mehr Menschen ermutigt, sich für Second-Hand zu entscheiden und die Lebensdauer ihrer Kleidung zu verlängern, und dadurch den Modekonsum neu definiert.

Beschreibung

• Pave a path for data as a product : Champion data as a first-class citizen by introducing robust data capabilities, observability and governance into the platform to enable decision making and ultimately better experience for Depop’s end users. • Software Engineering: Develop microservices, libraries, platforms and tools • Technical Design: Architect and evolve platform services that enable teams to work with data efficiently and securely at scale. • Lead Technological Initiatives: You will lead large, complex initiatives that will further enable our data users by setting the vision and roadmap, gathering requirements and defining the scope and success metrics for your initiative all while embracing a platform as a product approach. • Uphold Operational Excellence: Automating infrastructure and monitoring, leading incident response and root cause analysis, and continuously improving the health and performance of our data platform. Champion scalable standard processes through automation, clear documentation, and knowledge sharing via tutorials and training sessions. • Stakeholder Collaboration: Work closely to establish trusted relationships with both technical and non-technical stakeholders to define, design, and implement solutions within our data platform. You will also contribute to group and peer-level initiatives to improve our data platform as a whole. • Invest in others’ growth: Mentoring and sharing knowledge, helping elevate technical standards and fostering a culture of continuous improvement. • Build on our Engineering Culture: Take an active role in improving the engineering culture at Depop and encourage others around you to follow these values.

🎯 Anforderungen

• Advanced knowledge in a high-level programming language (e.g. Python, Scala) with proven foundation in software engineering best practices - testing, clean coding standards, code reviews, pair programming, automation-first mindset • Proven hands-on experience designing, building, and scaling complex data systems and backend infrastructure in production environments within a modern cloud-based environment (AWS, GCP, Azure) • Ability to think strategically and pragmatically • Excellent communication and collaboration skills; you're comfortable influencing technical direction and aligning diverse stakeholders across the organisation • Expertise in managing and integrating data orchestration and processing tools & platforms such as Databricks, Airflow, dbt, Kafka or similar • Experience with agentic coding tools (Claude Code, Cursor etc) • A passion for learning new things and keeping on top of the latest developments and technologies in our field. • Nice To Have: DevOps experience building CI/CD pipelines (Jenkins, GitHub Actions), IaC (Terraform) • Experience working with containerisation technologies - Docker, Kubernetes • Previous hands-on expertise with Spark • Advanced experience working and understanding the tradeoffs of at least one of the following Data Lake table/file formats: Delta Lake, Parquet, Iceberg, Hudi • Experience working with lakehouse / medallion architectures in Databricks • Streaming Knowledge: Experience with Kafka/Flink/Confluent or other streaming ecosystems, with a solid understanding of their components • Experience working with data governance, observability and catalogue solutions (e.g. Monte Carlo, Atlan, Datahub) enabling rich data lineage, data contracts, SLA/SLO, tagging and data quality monitoring capabilities

🏖️ Vorteile

• PMI and cash plan healthcare access with Bupa • Subsidised counselling and coaching with Self Space • Cycle to Work scheme with options from Evans or the Green Commute Initiative • Employee Assistance Programme (EAP) for 24/7 confidential support • Mental Health First Aiders across the business for support and signposting • 25 days annual leave with option to carry over up to 5 days • 1 company-wide day off per quarter • Impact hours: Up to 2 days additional paid leave per year for volunteering • Fully paid 4 week sabbatical after completion of 5 years of consecutive service with Depop • MyMode hybrid-working model with Flex, Office Based, and Remote options *role dependant • All offices are dog-friendly • Ability to work abroad for 4 weeks per year in UK tax treaty countries • 18 weeks of paid parental leave for full-time regular employees • IVF leave, shared parental leave, and paid emergency parent/carer leave • Budgets for conferences, learning subscriptions, and more • Mentorship and programmes to upskill employees • Life Insurance (financial compensation of 3x your salary) • Pension matching up to 6% of qualifying earnings • Employees enjoy free shipping on their Depop sales within the UK • Special milestones are celebrated with gifts and rewards!