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Azure Data Engineer- Freelancer

Lingaro

Role overview

Qualifications

  • A Bachelor's or master's degree in computer science, Information Systems, or a related field
  • Minimum of 8-10 years of experience in data engineering or a related field
  • Strong technical skills in data engineering, including proficiency in programming languages such as Python, SQL, Pyspark
  • Familiarity with Azure cloud platform viz. Azure Databricks, Data Factory, Data Lake

Responsibilities

  • Provide technical expertise and direction in data engineering, guiding the team in selecting appropriate tools and methodologies
  • Collaborate with stakeholders to understand project requirements, define scope, and create project plans
  • Support project managers to ensure that projects are executed effectively, meeting timelines, budgets, and quality standards
  • Oversee the design and architecture of data solutions, collaborating with data architects and other stakeholders

Key facts

Hard skills

Other skills

  • Consulting
  • Problem Solving
  • Analytical Thinking
  • Communication
  • Interpersonal Communications
  • Collaboration

About the company

Lingaro logo

Lingaro

Data Analytics & Business Intelligence

Lingaro Group is the end-to-end data services partner to global brands and enterprises. Our industry-recognized capabilities and expertise: • Supply chain analytics • Commercial analytics • Digital commerce • Sustainability analytics • ALCHEMY. creative agency • Data strategy consulting • AI and machine learning • Data platforms • Data visualization • Data governance We are award-winning and globally recognized. - Lingaro is recognized as a ‘Strong Performer’ in the 2022 Gartner® Peer Insights™ “Voice of the Customer” report in data and analytics. - We earned the Great Place to Work® certification in Lingaro Poland in 2023 and in Lingaro Philippines in 2022 and 2023, reflecting our people's trust in our core values. - Lingaro Group has been recognized as a Star Performer in Everest Group’s 2024 Analytics and AI Services Specialists PEAK Matrix® Assessment and a “Major Contender” by the Everest Group on its 2022 Analytics and AI Services Specialists PEAK Matrix® Assessment. - Lingaro Philippines won the Asian Technology Excellence Award for a pioneering sales intelligence solution that helped a manufacturing company make faster and smarter business decisions, automate many of its business processes, and improve its sales and marketing performance. - Lingaro was named Microsoft Poland’s Azure Partner of the Year in 2018 for our outstanding innovations and technology solutions.

Company details

Company typeLarge
IndustryData Analytics & Business Intelligence
Company size1001 - 5000

Links

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Job description

Growth through diversity, equity, and inclusion. As an ethical business, we do what is right — including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity fuels both personal and business growth. We're committed to building an inclusive community where all our people thrive regardless of their backgrounds, identities, or other personal characteristics.

Freelance Cooperation – What Does It Mean?

  • Open-ended freelance agreement. An active sole proprietorship (B2B) is required throughout the duration of the agreement.
  • Part-time engagement. Work up to 50% of full-time workload, depending on current project needs.
  • Flexibility that fits your schedule. We’ll reach out whenever a suitable project opportunity comes up. If you’re available and interested, you can choose to join the project. If the timing isn’t right, you’re always free to decline without terminating the agreement.
  • No need to worry about the equipment. Freelancers typically work using equipment provided by us. Depending on the project, you may receive access to a virtual machine instead.

Task:
  • Provide technical expertise and direction in data engineering, guiding the team in selecting appropriate tools, technologies, and methodologies. Stay updated with the latest advancements in data engineering and ensure the team follows best practices and industry standards. 
  • Collaborate with stakeholders to understand project requirements, define scope, and create project plans. 
  • Support project managers to ensure that projects are executed effectively, meeting timelines, budgets, and quality standards. Monitor progress, identify risks, and implement mitigation strategies.  
  • Oversee the design and architecture of data solutions, collaborating with data architects and other stakeholders. Ensure data solutions are scalable, efficient, and aligned with business requirements. Provide guidance in areas such as data modeling, database design, and data integration. 
  • Align coding standards, conduct code reviews to ensure proper code quality level. 
  • Identify and introduce quality assurance processes for data pipelines and workflows. 
  • Optimize data processing and storage for performance, efficiency and cost savings. 
  • Evaluate and implement new technologies to improve data engineering processes on various aspects (CICD, Quality Assurance, Coding standards). 
  • Maintain technical documentation of the project, control validity and perform regular reviews of it. 
  • Ensure compliance with security standards and regulations. 

    • What we are looking for:
  • A Bachelor's or master's degree in computer science, Information Systems, or a related field is typically required. Additional certifications in cloud are advantageous.  
  • Minimum of 8-10 years of experience in data engineering or a related field.  
  • Strong technical skills in data engineering, including proficiency in programming languages such as Python, SQL, Pyspark. 
  • Familiarity with Azure cloud platform viz. Azure Databricks, Data Factory, Data Lake etc., and experience in implementing data solutions in a cloud environment.  
  • Expertise in working with various data tools and technologies, such as ETL  frameworks, data pipelines, and data warehousing solutions.  
  • In-depth knowledge of data management principles and best practices, including data governance, data quality, and data integration.  
  • Excellent problem-solving and analytical skills, with the ability to identify and resolve complex data engineering issues.  
  • Knowledge of data security and privacy regulations, and the ability to ensure compliance within data engineering projects.  
  • Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams, stakeholders, and senior management.  
  • Continuous learning mindset, staying updated with the latest advancements and trends in data engineering and related technologies.  
  • Consulting exposure, with external customer focus mindset is preferred. 
    •    Must have skills: Databricks, Python, writing SQL queries, Delta lake, Data Lake concept, DWH, ADF, Azure Synapse, spark architecture, Data Governance, Azure Devops.
    We offer:
    • Established global technology partner. Lingaro has been operating since 2008 and brings together 1,600+ professionals across 7 global locations.
    • Flexible collaboration model and working hours. Enjoy working from inspiring locations in line with our remote work policy.
    • A diverse, inclusive, and values-driven community.
    • Autonomy to choose the way you work. We trust your ideas.
    Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we'll provide an environment where you feel valued and empowered to learn and grow.

    Apply once. Then go straight to the hiring manager.

    After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.

    MR

    Marcus Rivera

    Chief Revenue Officer

    m.rivera@company.com
    linkedin.com/in/marcusrivera
    Unlocked after you apply
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