$81K - $111K/yr
Own Power BI semantic models, KPIs, dimensional models, DAX performance, aggregations, and dataset ... Fully remote working environment within Europe. * Opportunity to take significant ownership of a ...
$81K - $111K/yr
Own Power BI semantic models, KPIs, dimensional models, DAX performance, aggregations, and dataset ... Fully remote working environment within Europe. * Opportunity to take significant ownership of a ...
What We Offer As a growing global life science company, with our stock listed on the German DAX and ... E-Verify Participation Info E-Verify Workers Rights #LI-remote Sartorius is part of the solution in ...
What We Offer As a growing global life science company, with our stock listed on the German DAX and ... E-Verify Participation Info E-Verify Workers Rights #LI-remote Sartorius is part of the solution in ...
What We Offer As a growing global life science company, with our stock listed on the German DAX and ... E-Verify Participation Info E-Verify Workers Rights #LI-remote Sartorius is part of the solution in ...
What We Offer As a growing global life science company, with our stock listed on the German DAX and ... E-Verify Participation Info E-Verify Workers Rights #LI-remote Sartorius is part of the solution in ...
Remote Dax Developer information
What is a remote DAX developer?
A Remote DAX Developer is a professional who specializes in creating and optimizing Data Analysis Expressions (DAX) formulas, primarily for Microsoft Power BI, Analysis Services, and Power Pivot. Working remotely, they collaborate with teams to design data models, develop calculated columns and measures, and enhance business intelligence solutions. Their expertise helps organizations transform raw data into actionable insights, all while working from a location outside the traditional office. Remote DAX Developers often use communication and project management tools to stay connected with clients and colleagues.
What are the key skills and qualifications needed to thrive as a remote DAX developer?
To thrive as a Remote DAX Developer, you need strong expertise in Data Analysis Expressions (DAX), data modeling, and proficiency with Power BI or similar BI tools, often supported by a background in computer science or data analytics. Familiarity with SQL, Power Query, and Microsoft Azure, along with relevant certifications like Microsoft Certified: Data Analyst Associate, is typically expected. Excellent problem-solving skills, attention to detail, and effective remote communication distinguish top performers in this role. These skills ensure the accurate development of business intelligence solutions, clear stakeholder collaboration, and successful project delivery in a remote environment.
What are some typical challenges faced by a remote DAX developer, and how can they be addressed?
Remote DAX Developers often encounter challenges such as communicating complex data logic to non-technical stakeholders and ensuring data accuracy across distributed teams. Working remotely can make it harder to quickly clarify requirements or troubleshoot issues collaboratively, so regular check-ins and clear documentation are essential. Utilizing collaborative tools like shared dashboards, version control, and scheduled virtual meetings can help maintain alignment and data integrity. Emphasizing proactive communication and maintaining a well-documented workflow are key strategies for success in this remote role.
What is the difference between Remote Dax Developer vs Remote Dax Consultant?
| Aspect | Remote Dax Developer | Remote Dax Consultant |
|---|---|---|
| Credentials | Proficiency in DAX, Power BI, and data modeling | Same as Developer, often with additional consulting certifications |
| Work Environment | Primarily focused on development and coding tasks | Includes client interaction, project planning, and strategic advice |
| Employer & Industry Usage | Used by companies building Power BI dashboards and analytics | Engaged by consulting firms or as independent advisors |
| Search & Comparison Intent | Focuses on technical skills and development roles | Includes advisory and strategic roles in analytics projects |
While both Remote Dax Developers and Remote Dax Consultants work with Power BI and DAX, Developers primarily focus on building and coding data models, whereas Consultants often provide strategic advice and client support. The roles overlap in skills but differ in scope and responsibilities.
What are popular job titles related to Remote Dax Developer jobs in Missouri?
For Remote Dax Developer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Dax Developer jobs in Missouri look for?
The top searched job categories for Remote Dax Developer jobs in Missouri are:
$81K - $111K/yr
Full-time
This job post has expired 1 day ago. Applications are no longer accepted.
Job description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data & Analytics Engineer based in Netherlands.
As a Senior Data & Analytics Engineer, you'll take end-to-end ownership of a modern data platform and business intelligence layer within a fully remote, international environment. You'll help transform complex data into scalable, trusted, and actionable insights for both customers and internal teams. The role combines data engineering, analytics engineering, and data product ownership, giving you broad influence across the data ecosystem. You'll modernise existing BI capabilities while building robust pipelines, semantic models, customer-facing analytics, and governance practices. Your work will directly support better decisions and measurable environmental and operational impact in the aviation industry. This is a high-autonomy role for someone who enjoys solving complex problems, improving systems, and connecting technical solutions to real customer value.
Accountabilities:
- Take end-to-end ownership of the data platform, including Databricks, Microsoft Fabric, scalable pipelines, and lakehouse architecture.
- Design, build, and operate robust ETL/ELT workflows supporting batch and near-real-time data processing.
- Establish and maintain data quality, reliability, observability, performance, and architectural standards across the platform.
- Define data contracts, architecture principles, and modular, scalable approaches while optimising platform costs and workload distribution.
- Own Power BI semantic models, KPIs, dimensional models, DAX performance, aggregations, and dataset refresh processes.
- Build and maintain customer-facing dashboards, embedded analytics, and data exports while ensuring consistent and trusted metrics.
- Enable governed self-service analytics and support secure, scalable multi-tenant data models.
- Translate customer and business needs into scalable data products, define reporting standards with Product, and identify opportunities to create additional value through data.
- Implement testing, validation, monitoring, alerting, CI/CD, versioning, and other engineering practices across data pipelines and BI assets.
- Lead the transition from an existing vendor-built BI solution by reverse-engineering pipelines, logic, and reports, reducing technical debt, and rebuilding toward a clean, product-grade architecture.
- Proactively identify patterns, anomalies, optimisation opportunities, and new insights that can generate measurable customer and business impact.
- 5+ years of experience in data engineering or analytics engineering, ideally focused on customer-facing BI products.
- Proven experience building scalable data platforms and customer-facing analytics in SaaS or product-driven environments.
- Strong hands-on expertise with Databricks, including Spark/PySpark and Delta Lake.
- Strong experience with Microsoft Fabric and/or the broader Azure data ecosystem.
- Advanced Power BI expertise, including data modelling, DAX, performance optimisation, and semantic models.
- Advanced SQL skills and strong knowledge of dimensional modelling, particularly Kimball methodology.
- Strong understanding of lakehouse architecture, ETL/ELT design, multi-tenant data models, and embedded analytics.
- Experience implementing CI/CD for data pipelines and BI assets, as well as version control using tools such as Git.
- Strong engineering discipline, including writing reusable, modular, maintainable, and testable code.
- Experience with data quality, monitoring, validation, and testing practices.
- Knowledge of Azure infrastructure, including IAM and networking, is a plus.
- Familiarity with data quality frameworks such as Great Expectations is an advantage.
- Strong ownership and autonomy, with a focus on outcomes rather than simply completing assigned tasks.
- Product-oriented and impact-driven mindset, with the ability to connect technical data solutions to customer value.
- Proactive and pragmatic approach, with a preference for simple, effective solutions over unnecessary complexity.
- Strong communication skills and the ability to make complex technical concepts accessible to both technical and business stakeholders.
- Minimum English proficiency of C1.
- Willingness to participate in two annual one-week team events.
- Fully remote working environment within Europe.
- Opportunity to take significant ownership of a modern data platform and BI ecosystem.
- Broad scope combining data engineering, analytics engineering, and data product ownership.
- Opportunity to work on technology designed to reduce food waste, fuel consumption, costs, and CO emissions in the aviation industry.
- International and diverse working environment with colleagues across multiple countries.
- Strong emphasis on continuous learning, collaboration, creativity, and inclusion.
- Opportunity to build customer-facing analytics and data products with measurable real-world impact.
- Two annual one-week team events offering opportunities for in-person collaboration.
- High level of autonomy and flexibility in how you approach technical challenges and deliver outcomes.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
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