Data Engineer (Junior / Intermediate / Senior)

SUMMARY:
Are you passionate about building the data platforms that power modern businesses? Do you enjoy solving complex data challenges, working with cutting-edge technologies, and turning raw information into valuable business insights?
My clients are actively seeking Data Engineers across Junior, Intermediate, and Senior levels to join innovative teams working on large-scale data platforms, cloud environments, and advanced analytics initiatives. Whether you're looking to expand your technical expertise, work with modern data stacks, or contribute to high-impact projects, these opportunities offer the chance to accelerate your career in one of the most in-demand areas of information technology.
If you're searching for IT jobs, jobs in information technology, or developer jobs that combine problem-solving, scalability, and modern cloud technologies, this could be the perfect next step.

POSITION INFO:

Job Description:
As a Data Engineer, you will play a key role in designing, building, and maintaining the data infrastructure that supports business intelligence, analytics, reporting, and data-driven decision-making.
Responsibilities may include:

• Designing, developing, and maintaining scalable ETL and ELT pipelines
• Building reliable and high-performance data platforms and architectures
• Developing and optimising data models and data warehouse solutions
• Ensuring data quality, integrity, and availability across multiple systems
• Working with structured and unstructured datasets from a variety of sources
• Supporting advanced analytics, business intelligence, and reporting initiatives
• Collaborating with Data Analysts, Data Scientists, Software Engineers, and business stakeholders
• Leveraging cloud platforms and modern data technologies to improve scalability and performance
• Contributing to data governance, best practices, and continuous improvement initiatives

• Experience in Data Engineering at Junior, Intermediate, or Senior level
• Strong SQL and Python skills
• Experience designing and maintaining ETL/ELT pipelines
• Solid understanding of data modelling and data warehousing concepts
• Exposure to cloud platforms such as AWS, Azure, or GCP
• Experience working with modern data ecosystems and scalable architectures
• Knowledge of Spark, Kafka, or similar big data technologies would be advantageous
• Strong analytical, problem-solving, and troubleshooting abilities
• Ability to work effectively within collaborative, cross-functional teams
• Passion for building efficient, scalable, and reliable data solutions

• Relevant degree, diploma, or equivalent practical experience
• Certifications in Data Engineering, Cloud Technologies, Analytics, or related fields would be advantageous