Analytics Engineering

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Apply analytics engineering practices in a data-driven environment.

As an Analytics engineer you will work together with Data engineer & BI developers, whereby you will contribute on developing data-driven business solutions. You will do this by way of making strategic analyses, maintaining central data stores and a nurturing a self-service data model.

A big focus of your role will be data modelling and creating relevant data sets and dashboards. You will also be the one that transforms raw data to structured data files. To achieve this, you will build data pipelines to fully automate the availability of data for reporting.

The Kick off

Every Analytics engineer kicks off with two full-time weeks of hands-on bootcamp training. In the bootcamp, we focus on building and maintaining the infrastructure needed to enable data-driven decision making.

Participants will develop data pipelines, write maintainable and testable SQL transformations, implement data quality checks all the while ensuring they create value with their solutions.

We do this through classroom lectures, short assignments, hackathons and collaborative project assignments. Our Analytics Engineering Lead chooses the best training approach for the topic, depending on your needs.

The next 12-months

After these 2 kick off weeks, you spend a full year working on-site four days a week at one of our partner companies and returning one day a week to our Xccelerated office in Amsterdam.

During these “return” days, you split your time between theory and practice—gaining project guidance and coaching from our supervising consultants to support you in the partner company’s projects, while also diving deeper into data & analytics engineer topics not covered in the bootcamp like modern data warehousing tools, data modelling frameworks and data processing tools.

At the end of your first year, you get the opportunity to join the partner organization directly.

Program topics include

  • Analytics Engineering with SQL/Python

  • Designing and Building Data Pipelines

  • Data Modelling and DBT

  • Data Management

  • Data Visualization

  • Continuous Integration and Delivery

  • Data Orchestration with Airflow

  • Containerization with Docker

  • Data storage & data lakes

  • Soft skills

  • Personal development

Want to know more? Fill in your details to download the full program!

Why work at Xccelerated?

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Advanced Data Engineering training programs

Take the next step in your career. Our programs for professionals with proven potential ensure growth for your Data Engineering career, by working and learning continuously.

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Challenging data-driven projects

Apply your knowledge on the most exciting data-driven projects and make real impact. Work with other highly skilled people at one of our partner companies & your future employer.

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Like-minded professionals

Work in an international environment with like-minded professionals who are on the same page: learning, making impact, sharing knowledge and having fun.

 

Ready to become an Analytics Engineering Xccelerator?

As an Analytics engineer you will be part of the Data & Analytics team:

 ✅ Help a data driven team and their business by developing data-driven business solutions

✅ Working on the data modelling and creating relevant data sets and dashboards

✅ Build data pipelines to facilitate reporting

✅ Improving and automating data flows and processes

✅ A bachelor’s or master’s degree

✅ 2-4 years of work experience as an Analytics engineer/BI Developer/Data analyst

✅ Experience with data modelling, dashboarding and visualization (PowerBI)

✅ Experience with SQL; preferably also Python

✅ Experience with Cloud components (Azure)

If you have any questions, please contact Samantha, our Talent acquisition lead, through sgoncalves@xccelerated.io or telephone number 0613889770