3 дня назад
Senior Data Engineer (AI)
82 700 - 93 350GBP
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer (AI) (Python/data platform): Building and maintaining reliable ingestion pipelines for textual, time-series, and event-stream data with an accent on resilience, observability, data quality, and SLA-backed reliability. Focus on designing batch and streaming architectures, handling late arrivals and backfills, optimizing performance and cost, and preparing the platform for international expansion and AI workloads.
Location: Remote in the United Kingdom
Salary: £82,700–£93,350 per year, plus equity
Company
is rebuilding electricity transaction infrastructure through AI-native technology that makes energy markets more transparent, efficient, and accessible.
What you will do
- Own the end-to-end design, reliability, resilience, and recovery strategy for ingestion pipelines and data syss, including TSDS.
- Build and maintain ETL/ELT pipelines for textual, time-series, event-stream, and other data sources.
- Select batch or streaming approaches for each pipeline, including high-scale and low-latency time-series workloads.
- Maintain the data platform, resolve technical debt, and optimize pipelines for performance and cost as volumes grow.
- Build monitoring, alerting, testing, and data quality controls tied to committed SLAs.
- Prepare the platform for international expansion and collaborate with AI initiatives as their data requirements grow.
Requirements
- Strong Python skills and proven experience building and maintaining production data pipelines.
- Experience owning the design, reliability, and resilience of a data pipeline or sys end-to-end.
- Experience with AWS or GCP.
- Experience with Terraform.
- Strong communication skills, including stakeholder collaboration on SLAs and explaining technical trade-offs to non-technical audiences.
- Ability to work independently, prioritize a backlog, and make sound technical decisions within a small team.
Nice to have
- Experience with time-series data at scale.
- Experience with Airflow, Snowflake, BigQuery, Redshift, or ClickHouse.
- Experience in energy or climate tech.
- Background in high-growth startups or scale-ups.
- Interest in how AI tooling and workflows intersect with data engineering.
Culture & Benefits
- Remote-first and flexible working with clear core hours.
- No internal meetings on Friday afternoons.
- 25 days of holiday plus public holidays, with the option to swap public holidays and take your birthday off.
- Up to GBP 1,200 or EUR 1,200 per year for home-working setup and up to GBP 150 or EUR 150 per month for wellbeing.
- Stock options and salary reviews twice a year.
Hiring process
- 30-minute introductory call with Talent.
- 60-minute behavioural interview.
- 60–90-minute skills interview with cross-functional leaders, including a practical exercise.
- 45-minute Bar Raiser interview with leadership stakeholders.
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