Senior Power BI Data Engineer

As a Senior Power BI Data Engineer at Workana, you will take on several key responsibilities. You’ll be tasked with setting up the Power BI environment from scratch, which involves establishing the architecture, configuring data connections, and implementing security best practices to ensure scalability. You will also handle data modeling, perform ETL operations using Power Query, and create user-friendly reports and dashboards tailored to finance, HR, and payroll analytics. Collaborating with stakeholders is crucial, as you will need to understand and translate complex business logic into actionable insights while providing training and documentation for business users.

To qualify for the Senior Power BI Data Engineer role at Workana, candidates should have a minimum of 5 years of experience in Power BI development, including experience with environment setup from scratch. A strong understanding of DAX, Power Query (M), and SQL for data transformation and calculations is essential. Additionally, candidates should be familiar with working with financial, HR, and payroll data. The role demands strong analytical skills, problem-solving abilities, and excellent communication skills to engage effectively with both business stakeholders and technical teams.

Yes, experience in ETL processes is a crucial requirement for the Senior Power BI Data Engineer position at Workana. Candidates must demonstrate proficiency in data modeling and transformation, specifically using ETL operations to prepare datasets for analysis. Being well-versed in integrating Power BI with various data sources like SQL Server, APIs, and cloud platforms is also highly valuable. This expertise will directly impact your ability to create optimized, efficient data solutions that scale.

At Workana, the Senior Power BI Data Engineer will enjoy a fully remote work environment, which fosters flexibility and work-life balance. As part of the largest remote work platform in Latin America, the atmosphere is dynamic and collaborative, with opportunities for professional advancement. You will be part of a team that values innovation and encourages the sharing of ideas and best practices, creating a supportive space for growth and creativity in your work.

Workana offers significant career growth opportunities for the Senior Power BI Data Engineer through their commitment to professional development within an international company. You will be supported in enhancing your skills and expertise, with access to training, resources, and networking opportunities within the remote work community. As the company continues to expand its services, high-performing employees like you have the chance to take on new challenges and roles, boosting your career trajectory in the field of data engineering.

When answering this question, focus on your specific experiences with Power BI. Detail the projects you have worked on, the problems you solved, and the outcome of your efforts. Highlight your familiarity with DAX, Power Query, and data modeling, as well as your ability to set up Power BI environments from scratch. Sharing a concrete example can help showcase your skills effectively.

In your response, emphasize the importance of understanding business requirements before diving into data modeling. Discuss how you analyze the data, identify key entities, and utilize best practices to create efficient models. Mention specific tools or techniques you use, and if possible, provide an example of a challenging dataset you successfully modeled.

This is a great opportunity to illustrate your communication and collaboration skills. Share a story that outlines the project, the stakeholders involved, and how you effectively gathered their requirements. Highlight any challenges you faced and how you resolved them, ensuring you emphasize your ability to translate complex business logic into data-driven insights.

Discuss the importance of data security and your strategies for safeguarding sensitive information. Mention best practices like implementing role-level security, data encryption, and restricting access to data sources. Show that you stay updated with security measures and compliance policies relevant to Power BI and data management.

Make sure to touch upon various techniques you can use to optimize performance, such as data reduction techniques, query folding, and efficient DAX measures. Elaborate on your experience handling large datasets and any tools you utilize to monitor and enhance performance.

When asked about ETL operations, outline the steps you take, from data extraction to transformation and loading. Explain how you ensure data quality and integrity, referencing any tools or platforms you utilize—like Power Query or Azure Data Factory. Providing a real example can illustrate your hands-on experience effectively.

Respond by listing various data sources you have worked with, such as SQL Server, cloud-based sources like Azure or Google Cloud, and APIs. Discuss any specific challenges you faced during integration and how you overcame them, illustrating your problem-solving abilities and adaptability.

Describe your commitment to continuous learning and professional development. Mention specific resources you use, such as blogs, webinars, or Microsoft certifications. Sharing how you implement new features into your work will demonstrate your proactive approach to professional growth.

When discussing challenges, focus on common issues you’ve faced, such as handling data discrepancies or performance optimization. Highlight your problem-solving skills and how you have turned these challenges into learning experiences, showcasing your adaptability and determination to improve.

Reflect on the unique opportunities this role presents and how it aligns with your career aspirations. Share your enthusiasm for the remote work environment and the chance to contribute to a forward-thinking company like Workana, illustrating how your skills will benefit the team and help drive success.