Назад
4 часа назад

Data Engineering Team Lead (Fintech)

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Страна
Poland
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Описание вакансии

TL;DR
Data Engineering Team Lead (GCP/Fintech): Leading the delivery of batch and real-time data pipelines within a GCP consolidation programme with an accent on data quality, observability, and engineering standards. Focus on coaching data engineers, designing streaming architecture, defining SLAs and SLOs, and managing delivery risks and reliability metrics.

Data Engineering Team Lead

Company

IG

Conditions

3 days agoLead Kraków - Poland Hybrid Full Time Engineering Management Jobs by IG

IG IG operates an award-winning trading platform and provides forex trading services, support, and educational resources through IG Academy. Company intelligence Distributed About IG IG is a trading-services company offering an award-winning trading platform, including forex trading services in the US. Its website highlights instant support and educational resources through IG Academy, and warns users about the risks of leveraged CFD trading. View jobs by IG

Skills

Airflow Bigquery Change Control Compliance Data Contract Data Ingestion Data Pipeline Data Quality Dbt Gcp Gcs Kafka Observability Sla Slo Sprint Sql Streaming

Candidate Availability

Kraków · Required Poland · Required Hybrid · Required Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will lead delivery of batch and real-time data pipelines within a GCP consolidation programme. You will coach and manage data engineers, establish data-quality and engineering standards, translate stakeholder needs into deliverables, run sprint cadences, manage risks, and report reliability and delivery metrics.

Requirements

  • GCP data-pipeline design and operations
  • BigQuery
  • Cloud Composer
  • Airflow
  • Google Cloud Storage
  • Apache Kafka
  • Real-time streaming architecture
  • Data-engineering leadership or technical mentoring
  • Code review
  • Design review
  • Data contract
  • Pipeline observability
  • SLA and SLO definition
  • Automated alerting and remediation
  • SQL
  • dbt
  • Data ingestion
  • Cross-functional communication
  • Financial-services regulation
  • Sprint cadence
  • Change control
  • Escalation

Responsibilities

  • Lead delivery of batch and real-time data pipelines
  • Manage squad commitments end to end
  • Coach, develop, and performance-manage data engineers
  • Embed data contracts, observability, and SLA monitoring
  • Translate stakeholder requirements into engineering deliverables
  • Run sprint cadences and manage delivery commitments
  • Escalate delivery risks early
  • Report pipeline SLOs, data freshness, and engineering metrics

Benefits

  • Extra time off for volunteering and community work

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