4 days ago
Delhi, IndiaStaff+
Responsibilities
- Design and deliver self-service onboarding for data sources, datasets, and pipelines with access, masking, quality, and cost controls.
- Improve batch and streaming ingestion and transformation capabilities, including ordering, duplicates, late data, deletes, replay, backfill, and migrations.
- Build governance into platform capabilities, including residency, PII masking, least-privilege and just-in-time access, retention, erasure, and lineage.
- Define SLOs, freshness and quality checks, alerting, and incident-response signals for data pipelines.
- Identify data platform and pipeline cost drivers and implement guardrails and attribution.
- Plan initiatives in shippable phases with milestones, migration paths, and adoption metrics.
- Use AI-assisted development and prepare governed, well-described data for safe agent use.
- Write documentation and golden paths, incorporate internal engineer feedback, review designs and code, and raise production engineering standards.
Requirements
- Experience independently designing, shipping, and operating a meaningful platform or data infrastructure initiative used by internal engineering teams.
- Strong data engineering fundamentals including batch and streaming ingestion, CDC, event-driven patterns, data modelling, idempotency, ordering, late data, and backfill.
- Strong production engineering experience in Python and SQL, including APIs, pipelines, or shared libraries.
- Practical infrastructure-as-code experience with Terraform or an equivalent, plus CI/CD for data and infrastructure and IAM across environments.
- Working knowledge of PII masking, access control, data residency, retention, and lineage.
- Experience with data pipeline observability, including freshness and quality checks, SLOs, alert thresholds, and incident response.
- Ability to justify technology choices against requirements and estimate cost and capacity at an order-of-magnitude level.
- Hands-on experience with AI-assisted development and sound engineering judgment.
- Clear written and verbal communication across engineering and non-engineering teams and time zones.
- Experience with global decentralized teams and financial services or other regulated environments is preferred.
Benefits
- Competitive salary is offered, but no amount is stated.
- Generous annual leave in addition to bank holidays.
- Paid maternity, paternity, and adoption leave.
- Paid and unpaid sabbatical options after milestone years with Tide.
- Private family health insurance with OPD coverage and top-up options.
- Life and accident insurance coverage.
- Therapy sessions, courses, meditations, and workshops for mental wellbeing.
- Paid annual volunteering or personal development days.
- Annual budget for books, courses, coaching, and other learning and development.
- Work Outside the Office benefit allowing work from abroad for up to 90 days annually.
- Contribution toward home office setup.
- Laptop ownership and replacement laptop provisions.
- Office snacks, beverages, and lunch where location-dependent.
Tech Stack
Categories
Data EngineeringDevOps
About Tide
Tide builds a digital business banking platform for small and medium-sized enterprises, offering current accounts, cards, payments, credit options, and connected admin tools such as invoicing and accounting integrations. Headquartered in London and founded in 2015, it operates in the UK, India, Germany, and France as a privately held company. Its mobile and web apps aim to reduce back-office workload for SMEs by combining banking with day-to-day financial administration.