Associate Consultant - UK FMS - Data

We are recruiting for an Associate Consultant in the team.

Your responsibilities will include:

• Design, develop, and maintain scalable data pipelines and data engineering solutions using Databricks, PySpark, Python, and Advanced SQL to support business reporting and analytics needs.
• Build and optimize ETL/ELT processes for ingesting, transforming, and processing structured and semi-structured data while ensuring data quality and reliability.
• Develop and maintain robust data models and curated datasets aligned with business and analytical requirements.
• Design and implement scalable, secure, and cost-effective data architectures on AWS and Azure, leveraging cloud-native services, Databricks, and Microsoft Fabric to support enterprise analytics and reporting requirements.
• Work closely with business stakeholders to understand requirements, ask appropriate business questions, and translate them into effective technical solutions.
• Perform data validation, testing, monitoring, and troubleshooting to ensure accuracy, performance, scalability, and data integrity across pipelines.
• Leverage Databricks best practices to optimize Spark jobs, SQL workloads, and overall platform performance.
• Collaborate with cross-functional teams including analysts, architects, and business users to deliver high-quality data solutions and support data-driven decision making.
• Ensure all solutions adhere to organizational standards, security guidelines, governance policies, and development best practices

>> SKILLS & QUALIFICATIONS:

To succeed in this demanding role you will need to demonstrate the following skills and experience:

• Over 2 years of hands-on experience in Data Engineering, DataWarehousing, and large-scale data processing projects.
• Strong expertise in Databricks/ MS Fabric, Advanced SQL,Python, PySpark, Data Pipeline Development, and DataModeling. Power BI experience will be a plus.
• Experience in designing and developing scalable ETL/ELTpipelines and working with structured, semi-structured, andunstructured data.
• Strong understanding of data warehousing concepts, dimensional modeling, performance optimization, and modern data architectures.
• Hands-on experience with cloud-based data platforms, preferably AWS and Azure, including cloud storage, compute, orchestration, and data integration services.
• Experience with Git/version control, CI/CD practices, and cloud-based data platforms; exposure to Microsoft Fabric and DBT is preferred.
• Ability to translate business requirements into scalable technical solutions with a focus on performance, reliability, and maintainability.

Qualification:

• Bachelor's/Master's degree in Computer Science, InformationTechnology, Engineering, or a related field.
• Relevant Databricks or Microsoft certifications are an addedadvantage.

• Bachelor's/Master's degree in Computer Science, InformationTechnology, Engineering, or a related field.
• Relevant Databricks or Microsoft certifications are an addedadvantage.

• Design, develop, and maintain scalable data pipelines and data engineering solutions using Databricks, PySpark, Python, and Advanced SQL to support business reporting and analytics needs.
• Build and optimize ETL/ELT processes for ingesting, transforming, and processing structured and semi-structured data while ensuring data quality and reliability.
• Develop and maintain robust data models and curated datasets aligned with business and analytical requirements.
• Design and implement scalable, secure, and cost-effective data architectures on AWS and Azure, leveraging cloud-native services, Databricks, and Microsoft Fabric to support enterprise analytics and reporting requirements.
• Work closely with business stakeholders to understand requirements, ask appropriate business questions, and translate them into effective technical solutions.
• Perform data validation, testing, monitoring, and troubleshooting to ensure accuracy, performance, scalability, and data integrity across pipelines.
• Leverage Databricks best practices to optimize Spark jobs, SQL workloads, and overall platform performance.
• Collaborate with cross-functional teams including analysts, architects, and business users to deliver high-quality data solutions and support data-driven decision making.
• Ensure all solutions adhere to organizational standards, security guidelines, governance policies, and development best practices