Senior Analytics Engineer

Syffer is an all-inclusive consulting company focused on talent, tech and innovation. We exist to elevate companies and humans all around the world, making change, from the inside to the outside.

We believe that technology + human kindness positively impacts every community around the world. Our approach is simple, we see a world without borders, and believe in equal opportunities. We are guided by our core principles of spreading positivity, good energy and promote equality and care for others.

Our hiring process is unique! People are selected by their value, education, talent and personality. We dont present ethnicity, religion, national origin, age, gender, sexual orientation or identity.

Its time to burst the bubble, and we will do it together!

What You'll do:

- Designing and implementing scalable analytical data models and semantic layers.

- Modeling and transforming data into consistent, business-ready analytical structures.

- Building, optimizing, and maintaining ELT/ETL pipelines and automated data quality frameworks.

- Ensuring clear and comprehensive documentation, including business rules, data lineage, and transformation logic.

- Monitoring data quality, SLAs, observability, performance, and platform reliability.

- Developing and optimizing large-scale semantic models to support analytics and reporting needs.

- Collaborating closely with Data Engineers, Data Scientists, Machine Learning Engineers, Product Owners, and business stakeholders to deliver value-driven solutions.

- Supporting BI, AI/ML, and analytics initiatives through reliable, governed, and accessible data assets.

- Driving best practices in data architecture, governance, CI/CD, testing, and performance optimization.

- Mentoring junior team members and contributing to the continuous improvement of team standards and delivery quality.

Who You Are:

- 5+ years of experience delivering analytical solutions in modern data environments.

- Strong expertise in dimensional modeling, star schema design, medallion architecture, semantic layers, and data governance.

- Advanced SQL skills with experience in performance tuning, partitioning, clustering, and large-scale data processing.

- Hands-on experience with Azure Data Factory, Apache Airflow, Microsoft Fabric, Databricks Workflows, or similar orchestration tools.

- Strong knowledge of PySpark, Spark SQL, and Python for advanced data transformations.

- Experience implementing CI/CD practices, version control, testing frameworks, and DevOps methodologies for data platforms.

- Practical experience with data quality, observability, lineage, and governance tools such as Microsoft Purview or Unity Catalog.

- Advanced Power BI modeling and DAX optimization skills.

- Experience working with cloud data platforms such as Snowflake, BigQuery, Azure Synapse, Delta Lake, ADLS, or Amazon Redshift.

- A structured problem-solving mindset with the ability to thrive in ambiguous environments.

- Strong communication skills and the ability to collaborate across technical and business teams.

- A degree in Computer Science, Data Science, Analytics, Machine Learning, or a related field.

- English proficiency at B2 level or higher.

What you'll get:

- Wage according to candidate's professional experience;

- Remote Work whenever possible;

- Delivery of work equipment adjusted to the performance of functions;

- Benefits plan;

- And others.

Work together with expert teams on projects of large magnitude and intensity, long term together with our clients, all leaders in their industries.

Are you ready to step into a diverse and inclusive world with us?

Together we will promote uniquess!