Senior Data Engineer for Implement Consulting Group
Senior Data Engineer for Implement Consulting Group
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1 Vacancy
Job Description
We are seeking a senior data engineer with handson experience in building and optimising data pipelines working with largescale data processing and implementing cloudbased solutions. The ideal candidate has expertise in modern data platforms and a proven ability to develop robust scalable and secure data workflows. This role is central to our mission of delivering datadriven solutions that create business impact for our clients.
Your key responsibilities will include:
- Designing and building data pipelines: Leading the development and optimisation of ETL/ELT workflows ensuring seamless data integration and efficient processing across diverse data sources.
- Cloudbased data engineering: Designing deploying and managing data platforms in cloud environments such as Azure AWS or GCP leveraging cloudnative tools and best practices.
- Data modelling and architecture: Developing and maintaining scalable data architectures creating robust data models and ensuring high performance and reliability for analytics and reporting systems.
- Data quality and governance: Implementing data validation processes monitoring pipeline health and enforcing data governance policies to ensure accuracy consistency and compliance.
- Automation and orchestration: Utilising workflow orchestration tools like Airflow Prefect or Azure Data Factory to automate data workflows and optimise processing.
- Collaboration with crossfunctional teams: Partnering with data scientists analysts and business stakeholders to understand data needs and deliver solutions that align with organisational objectives.
- Performance tuning and optimisation: Analysing and optimising data pipelines for speed scalability and cost efficiency ensuring the system meets SLAs for performance and availability.
- Mentorship and team development: Guiding junior engineers sharing best practices and fostering a culture of continuous learning and innovation within the data engineering team.
Key requirements are:
- Educational background: A masters degree in computer science engineering economics or a related field.
- Experience: A minimum of 35 years in data engineering with proven experience in designing and building data pipelines in professional environments.
- Technical expertise:
- Proficiency in SQL and at least one programming language such as Python Java or Scala.
- Handson experience with cloud platforms Azure AWS GCP and their data tools (e.g. Azure Synapse AWS Glue Google BigQuery.
- Experience with modern data processing frameworks like Apache Spark Databricks or Snowflake.
- Knowledge of data lake and data warehouse concepts including Delta Lake and other lakehouse architectures.
- Familiarity with CI/CD pipelines and infrastructureascode tools like Terraform or CloudFormation.
- Problemsolving and analytical skills: Ability to design solutions for complex data challenges with a focus on scalability and maintainability.
- Communication skills: Strong written and verbal communication skills to explain technical concepts to technical and nontechnical stakeholders.
- Leadership and mentorship: Demonstrated ability to lead projects and mentor junior team members driving excellence in data engineering practices.
- Certifications: Relevant certifications in cloud platforms (e.g. Azure Data Engineer AWS Certified Data Analytics or GCP Professional Data Engineer) are a plus.
We will be conducting interviews on an ongoing basis and encourage you to apply as soon as possible as applications will close once the position is filled.
We look forward to hearing from you!
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
