Data Engineer

🕒 6 days ago

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Avanade

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2000

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Avanade is a provider of cloud-based link management and digital connection tools, offering URL shortening, QR code generation (including dynamic and GS1 Digital Link support), mobile-friendly landing pages, link analytics, and APIs and integrations to manage and track customer interactions at scale. The platform targets businesses of all sizes with features like branded links, UTM campaign tracking, digital business cards, and enterprise-grade security and compliance, enabling marketing, developer, and customer service teams to create, customize, and analyze connections across channels.

📋 Description

• Design, build and maintain data pipelines (batch and/or streaming) using Python/PySpark and SQL • Develop and orchestrate robust, observable ETLs/ELTs with logging, metrics and alerts • Model data in transactional (OLTP) and analytical/multidimensional (OLAP) layers for consumption by BI, Analytics and AI • Ensure code and artifact quality, versioning and reproducibility using GitHub (branches, PRs, code reviews) • Implement tests (unit, integration and data tests) and plan end-to-end testing strategies • Apply software architecture best practices (modularity, security, performance, cost) • Collaborate with analysts, data scientists and product teams to translate business requirements into scalable solutions • Document data, processes and architectural decisions, promoting shared knowledge • Support continuous improvement: automation, standardization and performance of data environments

🎯 Requirements

• Proficiency in Python and PySpark for data manipulation, transformation and distributed processing • Strong SQL skills (modeling, tuning, CTEs, window functions, partitioning) • Data modeling for transactional (OLTP) and multidimensional/analytical (OLAP) systems • Experience developing ETL/ELT processes and orchestration (e.g., Airflow, Databricks Jobs, or similar) • Knowledge of software architecture applied to data (design patterns, security, scalability and cost optimization) • Practice with GitHub (GitFlow, PRs, semantic versioning, basic Actions) • Development and planning of tests, including data tests (e.g., data quality, schema validation) • Desirable: CI/CD pipelines for data (e.g., GitHub Actions, Azure DevOps, automated tests, deployment of jobs/notebooks) • Experience with unstructured/semi-structured data stores (e.g., Data Lake, NoSQL, document stores, columnar, graph) • Experience on cloud platforms (preferably Azure: Data Lake Storage, Databricks, Synapse, Fabric, Key Vault) • Exposure to data governance/security (lineage, catalog, RBAC/ABAC) • Differentials: Microsoft Azure certifications: DP-203 (Data Engineering on Microsoft Azure), AZ-900, DP-900 or equivalent • Databricks: Lakehouse Fundamentals or Data Engineer Associate/Professional • English: intermediate to advanced

🏖️ Benefits

• Meal or food allowance • Multi-benefit card (up to Senior Consultant level) • Health and dental insurance • Certifications and training • Life insurance • Private pension plan • Avababy: pregnancy support and newborn kit for new parents • Profit-sharing • Wellhub • Childcare assistance • Career mentoring • Birthday Off policy (for you and children up to 12 years) • Wellness sessions • For managerial positions: company car, parking and fuel allowance