Data Engineer

Ready to turn data into real business impact? Join Macaw as a Data Engineer and build innovative Azure-based data platforms that power analytics, AI, and digital transformation for leading international clients.

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In the digital era, data is akin to gold, holding immense value for those who can effectively harness it. Despite 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 400 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.
Engagement in architectural design, as well as building deployment processes, using Azure DevOps and Azure Services.
Manage data 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.

Requirements

A minimum of 2 years’ experience in Data Engineering.
Knowledge of data modelling, normalisation, and performance optimisation
Proficiency in Python, SQL and PySpark for data querying and processing tasks.
Experience in designing and implementing ETL/ELT workflows with Azure Data Factory, Azure Synapse Analytics, Databricks or similar tools.
Experience with cloud platforms, preferably Azure, including infrastructure, services, and deployment models.
Interest in new technologies like Microsoft Fabric, and familiarity with its features and capabilities.
Proficiency in English, both written and verbal.
Open to occasional travel if required by our client.
Preferred knowledge in

-Vector databases (Azure Search/pgvector) in chunking and indexing strategies.

-Graph databases structures (graph traversal, node topology, path resolution).

-Context engineering in AI agent orchestration frameworks.

Salary Range

We recognize the value you bring, which is why we offer a competitive salary of €3600 – 5100 gross, with the final offer tailored to reflect your experience and qualifications.

> Apply here

Sounds interesting?

Hi! I’m Greta, a Recruitment Business Partner at Macaw’s Lithuania team. If you’re curious about the position, feel free to send me an email to greta.baliutiene@macaw.nl

Flexibility & Leisure

Benefit from flexible working hours that extend beyond standard flextime.
Work remotely from any location within Lithuania.
Enjoy “workation” opportunities.
Take advantage of 23 paid vacation days to relax and recharge.

Wellbeing

Comprehensive private health insurance coverage provided by Compensa.
Wellness package with a focus on mental health, including access to free psychologist consultations.
5 fully paid sick leave days covered by the company each calendar year.

Office & Mobility

Receive a dedicated home office budget to create your ideal workspace.
Access a modern office space in Vilnius, complete with complimentary snacks.
Free on-site parking and exclusive lunch discounts.
In-office entertainment options such as table tennis and Xbox.

Life Long Learning

Individual professional development plan supported by a dedicated learning and growth budget.
Regular team-building and social events to foster a strong team culture.

Macaw, your guide in the Era of AI

About Macaw

For over 30 years, Macaw has led the way in technology and innovation. We guide people and their organizations in the Era of AI. We steer our customers through the complexities in today’s digital landscape, enabling them to transform, future-proof their organizations, and secure a distinctive competitive advantage. As a proud Microsoft partner, we leverage their ecosystem to deliver cutting-edge solutions.

What sets us apart is the unique combination of our extensive experience in both consulting and technical expertise. With over 400 experts across the Netherlands, Germany, and Lithuania, we continuously challenge conventional thinking and innovate based on customer needs.

At Macaw, everyone is welcome.

Our mission

Application procedure

01 / 05 05

Step 1

Getting to know you

We would like to get to know you! After you have indicated your interest to us, you will be called by one of our Recruiters. We will tell you more about Macaw, have a genuine interest in you and will be happy to answer your first questions.

Step 2

The first conversation

Unlike what you might be used to at other companies, we like to connect you directly with the people who truly understand the role. Instead of a trip to the office, we’ll set up a relaxed video call- no need to dress up, just bring your favorite drink. You’ll chat with one or two team members from the department you’re applying to. They’re happy to share what their day looks like and just as eager to learn what motivates you. Approachable, inspiring, and informative - that’s the kind of conversation we aim for!

Step 3

The second conversation

Hooray, you have come so far that a follow-up has been scheduled. We will carefully select two new interviewees you will often have to deal with in your job. This could be a direct colleague and someone from management. At the end of the interview, you will know for sure: I want to work at Macaw!

Step 4

An assessment

Depending on the position and your ambitions, we will schedule an assessment. Good to know is that we do not use this assessment as a selection tool, but as a development tool! We do not judge you on it, but rather look at where we, as a potential employee, can support you in your development.

Step 5

The offer

The icing on the cake! If we both feel there’s a strong fit, we’ll gladly make you an offer. In that offer, we take into account your skills, experience, and the market - so we can be sure it meets your needs and expectations.

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