Senior Data Engineer

Luxoft; Portugal; Presencial; EUR 60 000 - 90 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Great company culture

Luxoft Training Center services

Knowledge-sharing meetings

Employee discounts

Resumo da oferta

Luxoft is seeking an experienced Data Engineer to design and implement a scalable data platform for a major US-based retailer. You will work across domains to support big data processing and integrate new architecture with existing systems.

Key focus areas include Azure Data Factory and Synapse, Databricks, data modeling, and robust ETL/ELT pipelines. Collaboration with multiple product teams is essential.

Qualificações

• 8+ years of experience in data engineering or related roles.
• Strong hands-on experience with Azure Data Factory and Synapse (3+ years).
• Expertise in data modeling and designing scalable data solutions.
• Proficient in SQL and building robust ETL/ELT pipelines.
• Experience integrating data from databases, APIs and external sources.
• Lead cross-functional teams and communicate with stakeholders.

Responsabilidades

• Design a scalable data solution for a large retail environment.
• Support processing of big data volumes and integrate with current architecture.

Conhecimentos

Azure Data Factory

Azure Synapse Analytics

Azure Databricks

Python

SQL

ETL/ELT pipelines

Data Modeling

Leadership experience

Ferramentas

Docker

Kubernetes

Azure CLI

Descrição da oferta de emprego

The primary goal of the project is the modernization, maintenance and development of an eCommerce platform for a big US-based retail company, serving millions of omnichannel customers each week.

Solutions are delivered by several Product Teams focused on different domains - Customer, Loyalty, Search and Browse, Data Integration, Cart.

Current overriding priorities are new brands onboarding, re-architecture, database migrations, migration of microservices to a unified cloud-native solution without any disruption to business.

Responsibilities

We are looking for Data Engineer who will be responsible for designing a solution for a big retail company. The main focus is to support processing of big data volumes and integrate solution to current architecture.

Must have

• Readiness to work until 8.00 pm CET (no need to do overtimes)
• Overall years of experience required 8+ (at least 1+ year in a Lead/Architect position)
• Strong, recent hands‑on expertise with Azure Data Factory and Synapse is a must (3+ years).
• Strong expertise in designing and implementing data models, including conceptual, logical, and physical data models, to support efficient data storage and retrieval.
• Strong knowledge of Microsoft Azure, including Azure Data Lake Storage, Azure Synapse Analytics, Azure Data Factory, and Azure Databricks, pySpark for building scalable and reliable data solutions.
• Extensive experience with building robust and scalable ETL/ELT pipelines to extract, transform, and load data from various sources into data lakes or data warehouses.
• Ability to integrate data from disparate sources, including databases, APIs, and external data providers, using appropriate techniques such as API integration or message queuing.
• Proficiency in designing and implementing data warehousing solutions (dimensional modeling, star schemas, Data Mesh, Data/Delta Lakehouse, Data Vault)
• Proficiency in SQL to perform complex queries, data transformations, and performance tuning on cloud-based data storages.
• Experience integrating metadata and governance processes into cloud-based data platforms
• Certification in Azure, Databricks, or other relevant technologies is an added advantage
• Experience with cloud-based analytical databases.
• Experience with Azure MI, Azure Database for Postgres, Azure Cosmos DB, Azure Analysis Services, and Informix.
• Experience with Python and Python-based ETL tools.
• Experience with shell scripting in Bash, Unix or windows shell is preferable.
• Demonstrated ability to lead cross‑functional engineering teams, define technical strategy and architecture, drive delivery of complex data platforms, mentor engineers, and effectively communicate with stakeholders at all organizational levels.

Nice to have

• Experience with Elasticsearch
• Familiarity with containerization and orchestration technologies (Docker, Kubernetes).
• Troubleshooting and Performance Tuning: Ability to identify and resolve performance bottlenecks in data processing workflows and optimize data pipelines for efficient data ingestion and analysis.
• Collaboration and Communication: Strong interpersonal skills to collaborate effectively with stakeholders, data engineers, data scientists, and other cross-functional teams.
• Ability to plan, estimate and track progress of implementing features
• Computer Science and data science academic and education credentials

Benefits

• Great company culture and friendly environment
• Work within a fast-moving, exciting, and challenging environment
• Luxoft Training Center services with ad-hoc leadership and technical programs
• Meetings for knowledge sharing, celebrations, and brainstorming: your ideas count!
• Variety of discounts for our employees