Senior Data Engineer

**Role Overview**:
As a Senior Data Engineer within our Data Analytics Team, you will play a main reference role in managing and optimizing our data infrastructure and processes to ensure the efficient flow of data and information for critical business insights.

**How you can help us with this role**:

- **Data Infrastructure Management**: Maintain and enhance our current Data Warehouse infrastructure, including SQL databases, stored procedures, and scripts, to ensure data accuracy and availability. We look for someone who enjoys to find the best possible integration for the data required by business, having strong experience on Data Modeling.
- **Databricks architecture**: We are moving our data warehouse to a Data Lake following a Medallion architecture within databricks. For this purpose we look for a Senior Data Engineer with experience on PySpark, parallel processing and data architecture who wants to build and structure our data in he best possible way for your Data Analyst colleagues (PowerBI / Microsoft Fabric is used by the team).
- **Azure Data Factory**: Develop, monitor, and optimize data pipelines within ADF to facilitate and improve data extraction, transformation, and loading. Currently our processes are running on Azure Data Factory.
- **Data Quality Assurance**: Implement and oversee data quality processes to ensure that data is accurate, consistent, and reliable for analytics and reporting purposes.
- **Lead and Mentor**: Take a leadership role in guiding and mentoring the rest of the team, ensuring best practices and efficient data engineering processes.
- **Continuous Improvement**: Proactively identify opportunities to improve data processes and efficiency within the team and implement data-driven solutions.
- **Data Governance**: Enforce data governance practices to maintain data security, compliance, and privacy.
- **Strong Communication**: Excellent communication skills to convey complex technical concepts to both technical and non-technical colleagues.
- **Desire for Continuous Learning**: A proactive attitude towards learning and using data to improve existing processes.

**What we would like you to bring to our team**:

- MUST HAVES:_
- **Proficient SQL & PySpark Knowledge**: Proficiency in SQL and PySpark is a must. You should be capable of designing and maintaining complex queries and transformations, stored procedures, and data structures.
- **Azure Expertise**: Strong experience with Microsoft Azure, including Azure Data Factory, or experience implementing cloud data engineering environments.
- **Data Modeling**: The ability to design and build data models for efficient data processing.
- **Prior Experience**: Proven experience as a Lead Data Engineer or similar role with a focus on data infrastructure management, data quality, and data pipeline development.
- NICE TO HAVES:_
- **Microsoft Fabric experience** (Semantic Link, Power Automate, Synapse..)

**About A-SAFE DIGITAL**:
A-SAFE DIGITAL is a dynamic and innovative tech company dedicated to providing digital solutions for the A-SAFE Group.

As a hybrid workplace, we offer a collaborative environment where you can work remotely for a portion of the week and spend 2 days in our office.

**What we offer**
- **Competitive salary **and performance-based **bonuses**.
- Opportunities for **professional growth **and career advancement.
- **Supportive **and **collaborative **work environment.
- **Hybrid** set up, 2 days in the office, 3 days remote.
- **Swimming pool and ping-pong table**, plus coffee and tea in the office.
- **Flexible working **hours with the option of **Early-finish on** **Fridays**.