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  • Emplois similaires à : Senior Data Engineer
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Senior Data EngineerYLD ! • New York, New York, United States
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Senior Data Engineer

YLD !
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Postuler Maintenant

À propos

Our goal is to help our clients keep moving forward. We work with them to build the skills and capabilities they need to stay ahead of the competition, and we know our success only happens when they succeed. We’re a team of curious, talented people, and we’re committed to making YLD a place where great people want to work, grow, and stay. We’re a remote-first consultancy specialising in software engineering, product design, and data. Our teams are based across London, Lisbon, and Porto, and we create digital solutions that continue to deliver value long after our work is done. About the role: As a Senior Data Engineer, you’ll be part of a client team building innovative products. We expect you to be curious, passionate, driven, and enthusiastic. You’ll be proficient at problem-solving, and crafting scalable, resilient, and fault‑tolerant architectures. You’ll be an effective communicator and a team player. You and your team will move in a fast‑paced engineering environment, achieving outstanding results and delivering exciting projects. About you: A YLD Senior Data Engineer is a highly skilled engineer who spans across data engineering and analytics engineering, and knows where the boundaries sit. You've built pipelines and transformation layers. You've inherited messy data projects and made them good. You have opinions about how data teams should work and the humility to adapt them to context. You have a real passion for the craft and are an active learner who gets excited by the variety that consultancy brings: different clients, different stacks, different problems. Your day-to-day responsibilities will look like this: Delivering data work on client engagements: pipelines, transformation layers, models, and the infrastructure around them Adapting to different client contexts, legacy warehouse migrations, greenfield lakehouses, struggling transformation layers that need rescuing Defining and evolving our internal standards for data work: testing, documentation, project structure, code review Mentoring and growing data engineers across the company Showing up for client team moments (internal speakers, learning sessions, social events) to build strong working relationships. Contributing to proposals and helping shape engagements during the sales process Representing YLD externally through writing, speaking, and contributing to the wider data community. You’ll have the following skills and experience: SQL as engineering: You write SQL that's reviewable, testable, and performs at scale. You understand query planning, engine quirks, and how materialisation choices affect cost and performance Python for data: You write typed, testable Python for pipelines and tooling. You've built and maintained production data systems, not just notebooks Data modelling: You've made deliberate choices between dimensional, Data Vault, normalised, and denormalised designs. You can explain those trade‑offs in terms of flexibility, query performance, and maintainability Transformation architecture: You design transformations that are idempotent, incremental, and dependency‑aware. You think in DAGs, not scripts Pipeline design: You understand batch, streaming, and micro‑batch trade‑offs. You consider latency, complexity, cost, and reprocessability. And choose the right approach for the problem Data testing: You write tests as code, schema contracts, assertions, and transformation logic. You know what to catch at build time vs. defer to observability Data observability: You treat data reliability like site reliability. Measurable indicators, alerting, incident response, and root cause analysis CI/CD for data: You version, test, and deploy pipelines like software. Environment promotion, rollback strategies, and infrastructure as code for reproducible environments Data governance: You've implemented lineage, cataloguing, sensitive data classification, or access control. Not just built pipelines, but made them auditable and secure Cost-conscious: You've optimised warehouse spend, storage strategies, or job efficiency. You treat compute as a resource to manage, not ignore Platform fluency: You've worked across the modern stack. Orchestration (Airflow, Dagster), warehouses (Snowflake, BigQuery, Databricks), ingestion (Fivetran, Airbyte, custom), and transformation (dbt, Spark) Cross‑functional fluency: You translate engineering constraints into business terms and negotiate realistic commitments You’ll be: Self‑motivated and proactive Comfortable with ambiguity, experimentation, and iteration Collaborative by default. You work well in teams and across teams Analytical and detail‑oriented in your approach to problems Comfortable context‑switching across clients, stacks, and problem types Willing to shape engagements, not just deliver them: contributing to proposals, scoping, and client relationships Active in the wider data community: writing, speaking, or open‑source contribution Genuinely committed to diversity, equity, and inclusion Benefits you'll get: Company Private Health care Enhanced fully paid maternity and paternity leave for up to 6 months Company’s Pension Scheme (UK Only) 25 days annual holiday (excluding Public Holidays) £2000/€2000 annual allowance for Training/Conferences £300/€300 annual allowance for additional hardware Wellbeing & Performance Support via Oli including Therapy and Coaching Discretionary Bonus (depending on Company performance and results) Company laptop We’re an equal‑opportunity employer and value diversity in all its forms. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, pregnancy or maternity, age, marital status, or disability. We also offer a remote‑first working environment, with flexible working and work–life balance as standard for all employees.
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  • New York, New York, United States

Compétences linguistiques

  • English
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