Data Engineer

We are looking for a Data Engineer to join this dynamic data team, with responsibilities spanning client engagement and internal projects. Your role will be pivotal in delivering data-driven solutions and supporting the technical and business teams.Key Duties

• Client Collaboration: Collaborate with our internal team to achieve data-related goals for our external clients within advisory and consultancy projects.
• Data Insight and Issue Resolution: Work alongside our internal business and technical teams to interpret data and address any data-related challenges.
• ETL/ELT Implementation: Utilise cutting-edge technologies such as Snowflake, Microsoft Azure components (Data Factory, Key Vault, Storage Accounts, etc.), Databricks, and dbt to create and maintain data workloads (ETL/ELT).
• Data Team Support: Provide support to our internal software developers, data analysts, and data scientists across various data projects and initiatives.
• Automation and Best Practices: Develop in-house solutions and frameworks to streamline processes and establish industry best practices, standards, and patterns.
• Data Visualisation: Craft interactive dashboards and reports, potentially utilising Power BI for data visualisation.

Qualifications and Skillset:To excel in this role, you should possess the following qualifications and skills:

• Data Expertise: A solid grasp of data warehousing and data lake concepts, indicating familiarity with fundamental data storage and management principles.
• Technology Proficiency: Experience with key technologies like Microsoft Azure Data, Snowflake, Databricks, and dbt.
• SQL Mastery: Strong proficiency in SQL and a track record of working with relational databases, essential for effective data manipulation.
• Python Proficiency: While not mandatory, proficiency in Python is advantageous for scripting and data manipulation tasks.
• ETL/ELT Proficiency: Proven expertise in implementing and supporting ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes, crucial for data integration.
• Data Analysis and Modelling: Strong skills in data profiling, data analysis, and data modelling, indicative of a robust analytical foundation.
• Data Visualisation Skills: Experience using data visualisation and analysis tools like Power BI is a valuable addition for deriving meaningful insights from data.
• CI/CD and Infrastructure Competence: Familiarity with Continuous Integration/Continuous Deployment (CI/CD) and Infrastructure as Code (e.g., Terraform) is advantageous for efficient and automated development and deployment practices.
• Problem-Solving and Self-Learning Aptitude: Strong problem-solving abilities are essential in Data Engineering, along with a demonstrated willingness to learn and adapt to new technologies and tools.
• Self-Motivation and Team Contribution: Being self-driven, proactive, and a valuable contributor to the team's success are essential attributes for this role.

Working Arrangements:This position offers a hybrid work model, with three days in the office.In summary, this role seeks a Data Engineer who possesses not only technical prowess but also the ability to engage with clients and internal teams to deliver data solutions aligned with business requirements. It combines technical skills with problem-solving capabilities and a collaborative spiritIMPORTANT: By submitting your email address and any other personal information when you APPLY to a job, you consent to such information being collected, held, used and disclosed in accordance with our COLLECTIONS NOTICE and PRIVACY POLICY.