Job Overview
We are seeking a skilled Data Engineer to join our newly established Data Warehouse Team, to collaborate closely with the Data Warehouse Lead to design, implement, and optimize our data infrastructure from the ground up.
Initially, the Data Engineer will be involved in the analysis phase, gathering and mapping business requirements, and translating them into technical solutions and will also be responsible for setting up code and releasing pipelines.
As we transition into the design and implementation phases, the Data Engineer will play a key role in building the foundation for a robust data warehouse that will empower data-driven decision-making across the organization.
Duties & Responsibilities
- Working with stakeholders to gather and document business requirements for the data warehouse, ensuring alignment with business needs and objectives.
- Contributing to the design and architecture of the data warehouse, ensuring scalability, performance, and integration with existing data systems.
- Developing, optimizing, and maintaining ETL processes to ensure smooth data extraction, transformation, and loading from various sources into the data warehouse.
- Contributing to establish the code deployment and release strategy for different environments (DEV, UAT, Prod). Assisting in setting up automated deployment pipelines.
- Assisting in designing efficient data models that support reporting, analytics, and other business functions.
- Implementing data validation, quality checks, and ensuring consistency across datasets.
- Analyzing and improving the performance of data pipelines and queries, ensuring timely access to data for analytics and reporting.
- Working closely with other engineers, analysts, and business stakeholders to continuously improve the data architecture and analytics processes.
- Creating and maintaining clear documentation for processes, architecture, and data definitions. Adhering to best practices for data governance, security, and compliance.
Skills & Qualifications
- Minimum 4 years of experience as a Data Engineer or in a similar data-focused role.
- Strong experience with SQL (e.g., complex queries, performance tuning).
- Hands-on experience with ETL tools and processes (e.g., Talend, Apache NiFi, Airflow, SSIS, etc.).
- Solid knowledge of data modeling concepts (star schema, snowflake schema, etc.).
- Proficiency in Python or C# for data processing tasks.
- Experience with data warehousing concepts and the implementation of large-scale data pipelines.
- Familiar with CI/CD pipelines, version control (Git), and automation tools.
- Strong analytical and troubleshooting skills, with the ability to solve complex technical problems.
- Excellent communication skills with the ability to engage both technical teams and business stakeholders.
- Strong team player with experience working in a collaborative, fast-paced environment.
- Experience with data visualization tools (e.g., Power BI, Tableau) or knowledge of data governance practices is a plus. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and services like Redshift, BigQuery, or Snowflake.
Remuneration
An attractive remuneration package will be offered to the successful candidate according to qualifications and experience.
Equal Employment Opportunity
Logicom is committed to provide equal employment opportunities for all regardless of their race, colour, sex/gender, religion, age, marital status, cultural background, disability, nationality and political opinion. Employees are hired solely based on a specific vacancy’s requirements, taking into consideration the qualifications, previous experience and potential of each individual candidate.
Disclaimer
We reserve the right to remove the announcement from circulation at any point in time when a satisfactory number of applications has been received.