Description
Data Engineer – Inspire11
Elevens, as we call ourselves here, are curiously smart, creative, and dedicated to the highest standard of quality. By being true to ourselves and others, we create a respectful environment that enhances collaboration, drives growth through high expectations, and ensures alignment with our core values. Inspire11 is more than a modern business and technology consulting firm; we're a revolution. We work differently — and it shows. Every move we make is tied to measurable value, and our success aligns with our clients’ success. We partner to simplify the complex, solve sustainably, and stay ahead by continuously pushing our own thinking forward. Value creation isn't something we talk about — it's something we live, every day.
At Inspire11, we're not just offering a job; we're providing a platform for you to transform the future. You'll feel right at home here if you think differently, build boldly, and lead with impact. We're a place where your unique perspective is valued, your boldness is celebrated, and your potential is unleashed.
- Growth Through Challenge: We hold ourselves to the highest standards of excellence and accountability. At Inspire11, we are committed to delivering exceptional results and empowering our employees to take ownership of their work and drive meaningful impact. You'll work alongside elite consultants who challenge you to expand your skills and think even more creatively.
- The Autonomy to do Your Best Work: Here, outcomes matter more than outputs. It's about the value we create. You'll have the autonomy to shape your work, drive decisions, and make an impact—not just for our clients but for your growth. You'll be challenged to think strategically, anticipate needs, and solve problems. Bold thinking, creative approaches, and challenging conventional wisdom are part of our DNA. Our clients rely on us to lead them into what's next.
- Diverse Perspectives Driving Innovative Solutions: We champion inclusivity and authenticity, knowing that diverse perspectives drive better solutions. You'll be encouraged to bring your whole self to work, knowing that's where true innovation happens. We also believe that doing great work should be fun. Our culture thrives on energy, camaraderie, and appreciating the unique contributions that make Inspire11 an amazing place. Our teams get energy from being the best they can be.
What you can expect in this role:
As a Data Engineer, you’ll design and build the data foundations that power analytics and AI. You will work hands-on with modern cloud platforms and play a key role in transforming raw data into trusted, analysis-ready assets that drive client value.
- Design and build scalable data pipelines using Python, PySpark, SQL, and similar frameworks and languages to ingest, transform, and prepare data for analytics and AI use cases.
- Develop AI-first, cloud-native data solutions using Microsoft Fabric, Databricks, Snowflake, and similar modern cloud data platforms.
- Define and build scalable ingestion patterns for structured and unstructured data
- Analyze data structures and sources to define transformation logic and ensure data quality and consistency.
- Implement data models and governance practices, including privacy controls such as PII masking and tokenization.
- Apply software development best practices—including version control, unit testing, and CI/CD pipelines—to deliver reliable and maintainable code.
- Collaborate with business and technical teams to translate requirements into clear technical designs using source-to-target mapping and logical models.
- Support data consumption needs by creating BI-ready datasets and enabling reporting, dashboards, and AI use cases.
- Engage directly with clients to share progress, provide recommendations, and align on deliverables.
- Explore emerging tech, including practical applications of AI/ML to automate data workflows, improve pipeline observability, and optimize performance.
- Bring a forward-thinking mindset to AI-powered solutions, including agentic solutions and LLM integrations, helping clients and teams navigate what's possible as the AI landscape evolves.
Tools for success:
We’re looking for engineers who can bridge technical expertise with a consultative mindset and a drive for innovation. Successful candidates will bring:
- 3+ years of experience in data engineering, analytics engineering, or software development.
- Proficiency in SQL and Python, with hands-on experience building or maintaining data pipelines.
- Experience with cloud hyperscaler platforms including AWS, Azure, or GCP.
- Experience with modern cloud data stacks, such as Fabric, Databricks, Snowflake, Synapse, or Redshift.
- Understanding of AI/ML concepts, and curiosity to explore their role in data automation and augmentation.
- Experience with data warehouse design, dimensional modeling, or analytical data models.
- Knowledge of software development practices, including Git, automated testing, and CI/CD.
- Awareness of da
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