Data Engineer- Azure

Posted Yesterday
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Hiring Remotely in México
Remote
Mid level
Information Technology • Software • Business Intelligence
The Role
Design, build, and optimize scalable data pipelines and storage on Azure (data lakes/warehouses). Integrate and transform data from databases, APIs, and streaming sources; tune performance; collaborate with data scientists and stakeholders; work in Agile; mentor junior engineers and deliver robust, production-ready solutions with CI/CD practices.
Summary Generated by Built In
Tasks:
  • Building data pipelines to ingest data from various sources such as databases, APIs, or streaming platforms. Integrating and transforming data to ensure its compatibility with the target data model or format
  • Designing and optimizing data storage architectures, including data lakes, data warehouses, or distributed file systems. Implementing techniques like partitioning, compression, or indexing to optimize data storage and retrieval. Identifying and resolving bottlenecks, tuning queries, and implementing caching strategies to enhance data retrieval speed and overall system efficiency.
  • Designing and implementing data models that support efficient data storage, retrieval, and analysis. Collaborating with data scientists and analysts to understand their requirements and provide them with well-structured and optimized data for analysis and modeling purposes.
  • Collaborating with cross-functional teams including data scientists, analysts, and business stakeholders to understand their requirements and provide technical solutions. Communicating complex technical concepts to non-technical stakeholders in a clear and concise manner.
  • Independence and responsibility for delivering a solution
  • Ability to work under Agile and Scrum development methodologies
  • Train and mentor junior data engineers, providing guidance and knowledge transfer
  • Designing and implementing data processing systems on Azure platform. This involves writing efficient and scalable code to process, transform, and clean large volumes of structured and unstructured data.
  • Building data pipelines to ingest data from various sources such as databases, APIs, or streaming platforms.
  • Integrating and transforming data to ensure its compatibility with the target data model or format.
  • Identifying and resolving bottlenecks, tuning queries, and implementing caching strategies to enhance data retrieval speed and overall system efficiency.
  • Collaborating with cross-functional teams including data scientists, analysts, and business stakeholders to understand their requirements and provide technical solutions.

What We're Looking For:
  • Databricks 4/5.

  • Apache Spark 4/5.

  • Programming – Data 4/5.

  • Software Development for DE – 4/5.

  • Azure Services – 3/5.

  • Technical Leadership – 3/5.

  • Architecture – Data Processing – 3/5.

  • GenAI for Data Engineering – 3/5.

  • CI/CD Automation 3/5.

    Other:

  • 4-6 years of professional experience in a similar role.
  • Very good level of communication including ability to convey information clearly and specifically to co-workers and business stakeholders.
  • Working experience in the agile methodologies – supporting tools (JIRA, Azure DevOps).
  • Experience or familiarity with other cloud technologies, data warehouses, data governance, and business analysis is a plus.
  • Independence and responsibility in delivering solutions.
  • Ability to work under agile methodologies.
  • Hands-on experience in designing and optimizing of data storage (data lakes, data warehouses, distributed file systems).

Skills Required

  • Databricks
  • Apache Spark
  • Programming - Data
  • Software development for data engineering
  • Azure Services
  • Technical leadership
  • Data processing architecture
  • GenAI for Data Engineering
  • CI/CD Automation
  • 4-6 years of professional experience in a similar role
  • Strong communication skills with business stakeholders
  • Working experience in agile methodologies (JIRA, Azure DevOps)
  • Hands-on experience designing and optimizing data storage (data lakes, data warehouses, distributed file systems)
  • Experience or familiarity with other cloud technologies, data governance, and business analysis
  • Ability to train and mentor junior data engineers
  • Independence and responsibility for delivering solutions
Am I A Good Fit?
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The Company
HQ: Warsaw
1,340 Employees
Year Founded: 2008

What We Do

You’ve got the data — now what’s next? Many businesses are overwhelmed by data and struggle to turn it into real business impact. At Lingaro, we empower global brands and companies to achieve more with data. From strategy development to scalable solutions, we guide you every step of the way. We transform raw data into actionable insights with deep tech expertise, sharp business sense, and a user-centric mindset. Rooted in Europe and operating worldwide, we deliver with agility, a fresh perspective, and a proven track record. Join 75+ leading CPG companies across 30+ countries that have already transformed their business with Lingaro. Be data ready. Be business ready. Be future ready. Contact us at https://lingarogroup.com/contact_us to get started. Want to know more? Check our recognitions & awards below. 🏆 Positioned as a Leader in ISG Provider Lens™ 2025 – Generative AI Services in Strategy & Consulting and Development & Deployment 🏆 Identified as a Leader in ISG Provider Lens™ 2025 – Specialty Analytics Services in Supply Chain and Retail & CPG 🏆 Strong Performer in the Gartner® Peer Insights™ 2022 and 2024 "Voice of the Customer" reports 🏆 Major Contender in the Everest Group® 2024 Analytics and AI Services Specialists PEAK Matrix® Assessment 🏆 Listee in the Gartner® 2024 Guide to Service Providers for GenAI Initiatives 🏆 Great Place to Work® in Poland, the Philippines, and India in 2024

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