Data Engineer (100% REMOTE) | FREELANCE
Madrid
Ekkiden
Ekkiden is an international consultancy group that provides companies with skills to succeed in their digital, industrial and sustainable transformation.International consulting group founded in 2019, Ekkiden fosters an ecosystem of passionate and committed consultants who lead organizational, operational, and technological transformation projects in IT/Digital, Industry/R&D, and Sustainability, for large enterprises and SMEs in France, Switzerland, Spain, and Germany.
About the job:
One of our top clients (United Nations) is looking for a Data Engineer to join their Data & Analytics team, delivering cutting-edge data solutions. The selected candidate will work closely with Data Architects, BI Engineers, DevOps/DataOps specialists, and Data Scientists, contributing to data infrastructure, pipelines, and cloud solutions.š» 100% Remote | š 6-Month FREELANCE Contract (with possible extensions) | š Latin America (EST time zone)
Responsibilities:
- Design and implement data solutions based on project requirements, primarily using Microsoft Azure but also working with AWS and Google Cloud when needed.
- Develop and optimize ELT/ETL pipelines using Azure Data Factory, Logic Apps, DataBricks, PySpark, SQL Server stored procedures, and SSIS.
- Manage and enhance Data Lakes and Delta Lakes.
- Improve system performance, conduct tests, and troubleshoot data-related issues.
- Design, implement, and maintain CI/CD pipelines using Azure DevOps.
- Perform data migrations from legacy systems to new platforms.
What we are looking for:
- 5+ years of experience as a Data Engineer.
- Expertise in Microsoft Azure data services (Azure Data Factory, Logic Apps, Databricks, Synapse, Azure Functions, Azure DevOps).
- Strong experience in SQL Server, T-SQL, PySpark, Spark SQL, and Python.
- Proven ability to build data ingestion pipelines and transform complex datasets (JSON, XML, Excel, CSV).
- Proficiency in PowerShell, Bash, and Python scripting.
- Experience in Microsoft BI stack (SSIS, SSRS, SSAS).
- Ability to work in a fast-paced, highly collaborative environment, handling multiple projects simultaneously.
- Strong problem-solving skills and team-oriented mindset.
Nice to have:
- Familiarity with AWS and Google Cloud data services.
- Experience in project management methodologies (Agile, Scrum, PRINCE2, PMP).
- Knowledge in AI/ML, business intelligence, and advanced analytics.
- Strong technical documentation and training skills.
Certifications (Preferred but not mandatory):
- Azure Data Engineer Associate (DP-203)
- DP-500 (Designing & Implementing Enterprise-Scale Analytics Solutions)
- Certifications in AWS, Google Cloud, or Data Management
We offer:
š¤Ā Join us at the right time to make your mark in a fast-growing organizationĀ šĀ Various missions and projects that will allow you to have a real impact on the company šŖĀ TheĀ abilityĀ to work autonomously and toĀ drive new initiativesĀ āØ A career path adapted to your personality, both in terms of role andĀ locationĀ šĀ A strong culture, based on sharing, respect, ambition, and team spiritĀ šĀ The opportunity to manage teams and develop your area of expertise by leading one of our squadsĀ Ā š©Ā Develop your management and leadership skills,Ā because, atĀ Ekkiden, consultants look after the careers of other consultants. Gone are the days when your careerĀ wasĀ driven by a salesman!Ā ā¤Ā Health insurance Ā ĀWhatās the Recruitment Process Like at Ekkiden?
At Ekkiden, we're committed to providing a positive experience for every candidate.
Initial Call: Our recruitment team will reach out to discuss your motivations and expectations. Interviews: You'll have one or two interviews with our business managers, depending on the role you're applying for. Client Meeting: Finally, you'll have the opportunity to meet with the client.While this is our standard process, we may make adjustments based on specific circumstances.
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You can also find all our job offers on our website šĀ
https://jobs.ekkiden.com/
* Salary range is an estimate based on our AI, ML, Data Science Salary Index š°
Tags: Agile AWS Azure Business Intelligence CI/CD Consulting CSV Databricks Data management DataOps DevOps ELT ETL Excel GCP Google Cloud JSON Machine Learning Pipelines PySpark Python R R&D Scrum Spark SQL SSIS T-SQL XML
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