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: - Modeling and transforming data into clean, consistent, and reusable analytical datasets. - Developing and maintaining ELT/ETL pipelines and automated data quality checks. - Supporting the creation and optimization of semantic models and reporting layers. - Documenting business rules, data transformations, and lineage to ensure transparency and maintainability. - Monitoring data quality, performance, and reliability across analytics platforms. - Collaborating with Data Engineers, Data Scientists, BI teams, and Product Owners to deliver business-focused solutions. - Supporting analytics, reporting, and machine learning initiatives through reliable and well-governed data assets. - Contributing to continuous improvements in data architecture, governance, testing, and delivery processes. Who You Are: - 3+ years of experience working in analytics, business intelligence, or data engineering environments. - Experience designing and maintaining analytical data models and transformation pipelines. - Strong SQL skills and understanding of data modeling principles, including dimensional modeling and star schemas. - Hands-on experience with data orchestration tools such as Azure Data Factory, Apache Airflow, Microsoft Fabric, or Databricks. - Knowledge of Python, PySpark, or Spark SQL for data transformation and processing. - Understanding of data quality, testing, governance, and monitoring concepts. - Experience working with Power BI semantic models and analytical reporting solutions. - Familiarity with cloud-based data platforms such as Snowflake, BigQuery, Azure Synapse, Delta Lake, ADLS, or Amazon Redshift. - Strong analytical thinking, problem-solving skills, and attention to detail. - The ability to communicate effectively with both technical and non-technical stakeholders. - 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!