Senior Data Engineer

3 weeks ago

London, Greater London, United Kingdom Decision Inc Full time

About Decision Inc.

Decision Inc. is a global management and technology consulting organization dedicated to helping companies become data-driven businesses. We empower organizations to navigate the complexities of the digital world by transforming their operations and developing innovative business platforms. Our expertise in leading technologies and industry specializations enables us to guide clients in making better, faster decisions.

Your Role: Senior Data Engineer - Client-Facing Consultant

As a Senior Data Engineer, you will play a pivotal role in our team of client-facing consultants. You'll be responsible for designing and implementing data solutions that address the unique needs of our diverse clientele across various industries.

Key Responsibilities:

  • Collaborate with clients to conceptualize and develop tailored data solutions.
  • Modernize existing data environments to enhance efficiency and scalability.
  • Support our sales team by providing technical expertise during pre-sales engagements and proof-of-concept demonstrations.
  • Design and maintain optimal data pipeline architectures to ensure seamless data flow.
  • Assemble large, complex datasets that meet both functional and non-functional business requirements.
  • Identify opportunities for process improvement within our data infrastructure, including automation, optimization, and redesign.
  • Build the necessary infrastructure for efficient extraction, transformation, and loading (ETL) of data from diverse sources using leading cloud technologies such as Microsoft Azure, AWS, and GCP.
  • Develop analytics tools that leverage the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and key business performance indicators.
  • Work closely with stakeholders, including executive, product, data, and design teams, to address technical issues and support their data infrastructure needs.
  • Collaborate with data and analytics experts to continuously enhance the functionality of our data systems.

Who You Are:

  • Possess a minimum of 5 years of hands-on experience in data engineering.
  • Demonstrate advanced working knowledge of SQL and experience with relational databases, including query authoring (SQL) and familiarity with various database technologies.
  • Have experience building and optimizing data pipelines, architectures, and data structures using Microsoft technologies.
  • Be skilled in performing root cause analysis on internal and external data and processes to identify business opportunities for improvement.
  • Possess strong analytical skills related to working with unstructured datasets.
  • Have familiarity with data visualization tools, such as Microsoft Power BI.
  • Be able to build processes that support data transformation, data structures, metadata dependency, and workload management.
  • Have a proven track record of manipulating, processing, and extracting value from large, disconnected datasets.
  • Exhibit strong project management and organizational skills.
  • Demonstrate experience working effectively with cross-functional teams in a dynamic environment.
  • Familiarity with finance concepts and data is advantageous.

Qualifications:

  • Bachelor's degree in Computer Science, Information Systems, Information Technology, or a related field.
  • A Master's degree in a relevant field is advantageous.

Preferred Certifications:

  • Microsoft Azure Data Engineer Associate
  • AWS Certified Data Analytics - Specialty
  • Google Cloud Professional Data Engineer

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