pracaon.plpracaon.pl

Data Engineering Team Lead

Kraków - Poland, Polska
30д
Зарплата за домовленістю
Повна зайнятість • Стаціонарна робота • Фінанси, бухгалтерія та право

Основні характеристики вакансії

  • Дані: SQL / BI / Python

  • DevOps / Хмара: AWS, Azure, Docker, Kubernetes

  • Потрібні спеціалісти - старший/експерт

  • Право: договори / відповідність / GDPR

  • Повний робочий день

Description

Compensation details will be shared by the recruiter during the first interview.

How we work

  • Lead and Inspire: Drives trust, alignment, and enthusiasm

  • Think Big: Focus on the problems that most impact commercial outcomes

  • Champion the client: Understand and prioritise client's needs

  • Deliver at pace: Push for fast, sustainable growth;

What you’ll do

  • Lead and deliver data pipeline and platform work within the GCP consolidation programme, owning squad commitments end-to-end across batch and real-time (Kafka) workloads

  • Coach, develop, and performance-manage a squad of data engineers, fostering a culture of engineering excellence, ownership, and continuous improvement

  • Drive data quality as a first-class concern: embed data contracts, observability, and SLA monitoring across ingestion and transformation layers in the Medallion architecture

  • Act as the technical point of contact for stakeholders in Compliance, Marketing, and Data Science, translating requirements into well-scoped engineering deliverables

  • Maintain delivery rigour: run sprint cadences, manage commitments, escalate risks early, and report on pipeline SLOs, data freshness, and DORA-style engineering metrics

What you’ll need for this role

  • Hands-on experience designing and operating large-scale data pipelines on GCP (BigQuery, Cloud Composer/Airflow, GCS), with proven knowledge of Apache Kafka and real-time streaming architectures

  • Demonstrated experience leading or technically mentoring a team of data engineers, with the ability to set standards, conduct code and design reviews, and grow engineers’ capabilities

  • Strong grasp of data quality practices: data contracts, pipeline observability, SLA/SLO definition, and automated alerting and remediation

  • Solid understanding of SQL transformation patterns and modern tooling such as dbt, alongside experience managing ingestion estates with third-party connectors and in-house integrations

  • Clear and confident communicator able to work cross-functionally with non-technical stakeholders; comfortable in a regulated financial services environment with structured delivery disciplines (sprint cadences, change control, escalation)

  • Raise the bar: Take ownership, be accountable and share feedback

Цю пропозицію імпортовано із зовнішнього порталу.Джерело оголошення

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