pythonsqlterraformdbtsparkdatabrickspysparkdata pipelinesdelta lake
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
ЗП не указанаразвернуть
На похожих ролях по рынку
$83к$101кмедиана$151к
24 в выборке
На СНГ рынке: $3.5к/мес ($3к - $4.3к)
81
Хорошая вакансия
развернуть
Роль чётко сосредоточена на масштабной миграции данных, с современным стеком и поддержкой развития. При этом в аутсорсинговой компании работа может зависеть от конкретных проектов.
?Работа на проектах
Актуальный стек
Понятные задачи
Поддержка развития
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Engineer (SQL/Python/PySpark/dbt): Building reliable data foundations and repeatable pipelines for a large-scale migration into a single platform with an accent on ingestion, transformation, validation, and secure data handling. Focus on designing distributed processing workflows, recovering failed pipelines, and maintaining auditable mappings and outcomes.
Location: Leeds, United Kingdom; hybrid working model with some flexible working.
Company
hirify.global is a European technology partner delivering digital solutions for governments, critical industries, and businesses, including responsible AI and business-critical systems.
What you will do
Build repeatable processes to receive, unpack, validate, and ingest data from multiple sources.
Transform varied source extracts into consistent structures for migration to a single platform.
Develop maintainable ingestion and transformation code using SQL, Python, PySpark, and dbt.
Implement automated completeness and accuracy checks throughout the migration.
Monitor, diagnose, and recover failed or incomplete data processing.
Maintain auditable records of sources, mappings, transformations, outcomes, and secure data-handling controls while collaborating with data leads, analysts, platform teams, and source organisations.
Requirements
Hands-on experience building and operating reliable data pipelines in a structured migration environment.
Experience building and operating data pipelines on Azure, AWS, or Google Cloud.
Experience with Spark, PySpark, Databricks, or comparable distributed processing technologies.
Experience building modular, tested, and documented transformations using dbt or an equivalent approach.
Strong SQL and Python skills for transformations, troubleshooting, validation, and reconciliation queries.
Experience scheduling, monitoring, and recovering pipelines with cloud-native or equivalent orchestration tools.
Experience with Delta Lake, including transactional tables, schema changes, and repeatable batch loading.
Experience using Terraform or equivalent infrastructure-as-code tools to provision and maintain consistent cloud environments.
Culture & Benefits
Structured career development supported by a personal mentor from the leadership group.
Collaborative, supportive, inclusive teams with equal opportunities for development.
Responsible digitalisation focused on secure, transparent, and lasting impact.
25 days’ holiday, private medical healthcare via Vitality, pension contribution, and life assurance.
Support for professional certifications, retail discounts, and Employee Resource Groups.
Low-bureaucracy, agile, and flexible working culture.
Будьте осторожны
Если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого. Это мошенники. Обязательно жмите «Пожаловаться» или пишите в поддержку. Подробнее в гайде →