Senior Data Engineer – Analytics

Jobtailor; Deutschland; Remote; EUR 65.000 - 90.000; Vollzeit

Zusammenfassung

Jobtailor in Germany seeks an experienced Analytics Engineer to design and optimize data integration and transformation pipelines using Databricks and SQL. You will build BI-ready data models and dashboards to empower business decisions.

You will collaborate with stakeholders across the organization to translate needs into robust data solutions, ensuring data quality and governance while advancing metrics and analytical views in Power BI.

Qualifikationen

• Hands-on experience with Databricks.
• Strong SQL skills.
• Experience with Power BI, including building models, metrics, KPIs, reports, and dashboards.
• Experience in data modeling and transformation.
• Knowledge of analytics engineering.
• Experience with data integration.
• Ability to structure data for consumption by BI and Analytics solutions.
• Seniority and technical autonomy to lead data and analytics activities.
• Intermediate or advanced English proficiency (a plus).
• Microsoft Azure and/or Databricks certifications (a plus).

Aufgaben

• Develop and maintain data integration, transformation, and processing solutions using Databricks and SQL.
• Perform data modeling and structuring for analytical consumption.
• Develop and optimize data transformation processes.
• Work in analytics engineering bridging business needs to data structures.
• Build metrics, KPIs, and analytical models.
• Develop reports, dashboards, models in Power BI.
• Support the integration of information from different sources.
• Collaborate with stakeholders to translate business needs into data solutions.
• Ensure data consistency, integrity, and quality for analyses.

Kenntnisse

Databricks

SQL

Power BI

Data Modeling

Data Integration

Analytics Engineering

Building Metrics

KPI Development

Data Structuring

English Proficiency

Azure Certification

Databricks Certification

Tools

Power BI

Databricks

Microsoft Azure

Jobbeschreibung

• Develop and maintain data integration, transformation, and processing solutions, primarily using Databricks and SQL
• Perform data modeling and structuring for analytical consumption
• Develop and optimize data transformation processes
• Work in analytics engineering, connecting business needs to data structures and models
• Build metrics, KPIs, and analytical models
• Develop reports, dashboards, models, and analytical views in Power BI
• Support the integration of information from different sources
• Work with relevant stakeholders to translate business needs into data and analytics solutions
• Ensure the consistency, integrity, and quality of data used in analyses

Requirements

• Hands-on experience with Databricks
• Strong SQL skills
• Experience with Power BI, including building models, metrics, KPIs, reports, and dashboards
• Experience in data modeling and transformation
• Knowledge of analytics engineering
• Experience with data integration
• Ability to structure data for consumption by BI and Analytics solutions
• Seniority and technical autonomy to lead data and analytics activities
• Intermediate or advanced English proficiency (a plus)
• Microsoft Azure and/or Databricks certifications (a plus)

Core Competencies

Demonstrates expertise in developing and maintaining data integration and transformation solutions using Databricks and SQL, while ensuring data quality and integrity for analytical purposes. Proficient in building reports and dashboards in Power BI to meet business analytics needs.

Highest-signal resume keywords

• Databricks
• SQL
• Power BI
• Data Modeling
• Data Integration

Hard Skills

• Data Transformation
• Analytics Engineering
• Building Metrics
• KPI Development
• Data Structuring

Certifications & Qualifications

• Databricks Certification
• Microsoft Azure Certification

Industry Keywords

• Data Integration
• Analytical Models
• Data Quality
• Business Intelligence
• Data Analytics

Tools & Technologies

• Power BI
• Databricks
• Microsoft Azure