Data engineer

Publicis Sapient; Berlin; On-site; EUR 110,000 - 150,000; Full time

Benefits offered by this job

Inclusive workplace

Learning opportunities

Competitive compensation

Work-life balance

Health benefits

Paid leave

Wellness program

Job summary

Publicis Sapient в Берлине ищет руководителя команды по Data Engineering, который будет лидером технических проектов и развивать продукты для пользователей. Ваша задача — проектировать и внедрять конвейеры данных, управлять высокоэффективной командой и обеспечивать качественный data lifecycle.

Кандидат должен иметь опыт работы с большими данными, облачными платформами и языками Python/Java, знание SQL, умение работать с Agile, Git и CI/CD, владение немецким языком на уровне свободного общения.

Qualifications

• Требуется практический опыт проектирования и реализации ETL/ELT.

Responsibilities

• Проектирование, внедрение и тестирование конвейеров данных ETL/ELT.
• Построение масштабируемых, надёжных и высокопроизводительных пайплайнов для структурированных и неструктурированных данных.
• Работа с большими данными и распределёнными системами для обработки крупных наборов данных.
• Сотрудничество с моделистами данных, учёными и архитекторами решений для оптимизации потоков и хранения.
• Участие в предоставлении чистых, хорошо структурированных данных аналитикам и дата-сайентистам.
• Координация с командами интеграции и владельцами источников данных для плавного ввода данных.
• Автоматизация Provisioning, развёртываний и управления средами данных.
• Создание и поддержка API и сервисов данных для внутренних и внешних потребителей.
• Обеспечение масштабируемости, производительности, качества данных и управления ими.

Skills

Командная работа

Коммуникационные навыки

Аналитическое мышление

Умение решать проблемы

Любознательность

Education

Бакалавр в информатике, инженерном направлении или эквивалентный опыт

Tools

Spark

Hadoop

Kafka

Flink

Databricks

Snowflake

BigQuery

Synapse

Python

Java

SQL

Git

CI/CD

Airflow

Data Factory

Job description

Описание:

As a Data Engineering Manager, you will lead a team and create technology products that help people have the best experience they have ever had. We are looking for a leader with a strong passion for both technology and people, who is motivated to build outstanding products. The ideal candidate brings deep technical expertise across multiple technologies, a strong track record of delivery, and proven experience in building and leading high-performance engineering teams.

Задачи:

• Design, implement, and test data pipelines, ETL/ELT processes, and data storage solutions
• Build and maintain scalable, reliable, and high-performance pipelines for structured and unstructured data
• Work with big data technologies and distributed systems to process and transform large datasets
• Collaborate with data modelers, data scientists, and solution architects to ensure efficient data flows and optimal storage
• Partner with data scientists and analysts to deliver clean, well-structured, and accessible data
• Coordinate with integration teams and data source owners for smooth ingestion of data from multiple systems
• Automate provisioning, deployments, and environment management for data platforms
• Create and support APIs and data services for internal and external consumers
• Ensure solutions meet requirements for scalability, performance, data quality, and governance

Требования:

• Hands-on experience with ETL/ELT design and implementation
• Familiarity with big data ecosystems (e.g., Spark, Hadoop, Kafka, Flink)
• Experience with one or more cloud platforms (Azure, AWS, GCP) and modern data engineering tools (e.g., Databricks, Snowflake, BigQuery, Synapse)
• Proficiency in programming languages such as Python, Java
• Solid understanding of SQL and experience with both relational and non-relational databases
• Experience with data modeling, schema design, and data partitioning strategies
• Experience with version control (e.g., Git) and CI/CD practices
• Familiarity with Agile development methodologies and test management basics
• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
• 6+ years of professional experience in data engineering or related roles
• Strong teamwork, communication, analytical thinking, and problem-solving skills
• Fluent in German, both spoken and written
• Curiosity and drive to continuously learn, adapt, and share knowledge
• Будет плюсом: Knowledge of workflow orchestration tools (e.g., Airflow, Data Factory) is a plus; Background in the Energy and Commodities or Financial Services sector is a plus

Условия:

• An inclusive workplace that promotes diversity and collaboration.
• Access to ongoing learning and development opportunities.
• Competitive compensation and benefits package.
• Flexibility to support work-life balance.
• Comprehensive health benefits for you and your family.
• Generous paid leave and holidays.
• Wellness program and employee assistance.