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Data Engineer

extra holidays - fully flexible
Remote: 
Hybrid
Contract: 
Full time
Experience: 
Mid-level (2-5 years)
Work from: 
Vilnius (LT)

Offer summary

Qualifications:

Minimum 2 years' experience in Data Engineering, Proficiency in Python and SQL, Experience with Azure Data Factory or similar tools, Familiarity with cloud platforms, preferably Azure, Proficiency in English, both written and verbal.

Key responsabilities:

  • Consult with clients on technical requirements in Data Analytics
  • Design, develop, and deploy DA applications and big-data platforms
  • Engage in architectural design using Azure DevOps
  • Manage ETL and Azure Data Factory pipelines
  • Keep abreast of data trends for personal and client growth
Macaw logo
Macaw SME https://www.macaw.nl/
501 - 1000 Employees
About Macaw
The digital service provider Macaw helps major companies with solutions and services in the field of digital marketing (including social media, influencer, and content marketing), e-commerce, data and AI, working in the cloud and integrated business applications. By combining creativity, data and technology, Macaw helps companies to accelerate their digital transformation. And thanks to Macaw’s specialization in Microsoft and Sitecore software solutions, they can take advantage of the first-class technology and broad knowledge and experience of over 500 employees working from the head office in the Netherlands, but also from offices in Germany and Lithuania, who help clients like Heineken, Deutsche Telekom, Eneco, Henkel, L’Oréal to be successful.    Macaw’s taste for challenges ensures a unique company culture and valuable partnerships. The company has been high up in the Great Place to Work ranking for many years. For more information visit: www.macaw.net.
See more Macaw offers

Job description

Your mission
In the digital era, data is akin to gold, holding immense value for those who can effectively harness it. Despite recognizing its potential, many companies struggle to fully understand and leverage their data assets. At Macaw, we empower our clients by developing robust and future-proof data platforms that accommodate both traditional and cutting-edge data-driven initiatives. Our proven expertise has benefitted a wide array of clients, including Basic Fit, PWN, Vivat, Henkel, and ABN AMRO. 

Joining our team of 500 international experts, you will contribute to crafting premier digital solutions that drive client success. Our dedicated Data & Analytics team spans the entire data spectrum, from conventional Business Intelligence to sophisticated analytics incorporating AI and Data Science, with a special emphasis on the Microsoft BI Stack. 

We champion a collaborative culture where individual and collective responsibilities merge, fostering a professional yet supportive environment. This includes constructive feedback, mutual support, knowledge sharing, and celebrating our achievements as a team.  

Responsibilities 
  • Consult with clients on the technical possibilities and requirements within the Data & Analytics realm. 
  • Collaborate on designing, developing, and deploying D&A applications, big-data platforms, and self-service BI solutions. 
  • Engage in architectural design, as well as the building and deployment processes, using Azure DevOps and Azure Services. 
  • Manage ETL and Azure Data Factory pipelines and tackle data engineering challenges. 
  • Keep abreast of data trends to ensure both client success and personal growth. Opportunities for using Azure credits for Proof of Concepts or personal projects are encouraged for continuous learning and innovation. 
Your profile
  • A minimum of 2 years' experience in Data Engineering. 
  • Proficiency in Python and SQL for data processing, scripting, and database management tasks. 
  • Experience in designing and implementing ETL/ELT workflows with Azure Data Factory, SSIS, or similar tools. 
  • Experience with cloud platforms, preferably Azure, including infrastructure, services, and deployment models. 
  • Interest in new technologies like Azure Synapse Analytics and Fabric and familiarity with its features and capabilities. 
  • Proficiency in English, both written and verbal. 
  • Open to occasional travel if required by our client. 
Why us?
Joining Macaw isn't just about a job—it's about embracing a culture of growth, flexibility, and well-being. Here's what you can expect: 
  • Extra paid holidays. 
  • Flexible hours and remote work options, including the possibility to work from abroad. 
  • Home-office setup budget. 
  • Free parking and lunch discounts. 
  • Comprehensive health insurance from Compensa. 
  • A training budget for professional development. 
  • Referral bonuses. 
  • A wellness package that supports mental health, including free psychologist consultations. 
Salary Range 
We value your expertise and offer a competitive salary range of €3000 – €5000 gross, tailored to your experience and qualifications.
Auf diese Stelle bewerben
About us
We love challenges! 500 ambitionierte und internationale Talente leben dieses Motto an unseren Standorten in Deutschland, den Niederlanden und Litauen. Als führende Dienstleistungsagentur bringen wir die Bereiche Kreativität, Daten und Technologie zusammen. Gemeinsam mit unseren Partnern Microsoft und Sitecore entwickeln wir innovative Lösungen für unsere Kunden, wie z.B. Aktion Mensch, Deutsche Telekom, Düsseldorf Airport, Festool, Heineken, Henkel, L’Oréal, Melitta, REWE, RWE, Vorwerk und viele mehr. Bei Macaw stehst Du im Mittelpunkt. Unsere Kultur, geprägt von Teamplay, Authentizität und Vielfalt, macht uns zu einer People Company und einem "Great Place to Work".

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
EnglishEnglish
Check out the description to know which languages are mandatory.

Hard Skills

Azure Data FactoryScriptingArchitectural DesignAzure DevOpsMicrosoft AzurePython (Programming Language)Textile DesignAzure Synapse AnalyticsCloud Platform SystemData ProcessingData EngineeringDatabase ManagementSQL (Programming Language)Web Trends
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