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Data Engineering Manager

Michael Page

Cardiff

On-site

GBP 60,000 - 100,000

Full time

30+ days ago

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Job summary

An established industry player in the transportation sector is seeking a Head of Data & Data Engineering to spearhead their data transformation journey. In this pivotal role, you will lead a dynamic team of developers and analysts, driving the creation of a robust data platform that enhances customer service through insightful data analysis. With responsibilities spanning data architecture, security, and quality management, you'll have the autonomy to manage a significant budget while delivering impactful projects. This is an exciting opportunity to shape data-driven decision-making and foster a culture of continuous improvement across the organization.

Benefits

Opportunity to work on a major Data Transformation Programme
Drive Data Strategy, Platforms and Growth

Qualifications

  • Degree in Data Science, Computer Science, or related field required.
  • Significant experience in data strategy development and management.
  • Excellent communication skills for stakeholder collaboration.

Responsibilities

  • Lead and manage the Data Engineering team to align with business goals.
  • Develop a robust data engineering strategy and governance framework.
  • Oversee implementation of data platforms and big data technologies.

Skills

Data Strategy Development
Data Platform Management
Azure Data Technologies
Data Governance
ETL Processes
Data Architecture Principles
Cloud-based Data Solutions
Data Security Compliance
Scripting Languages (Python, SQL)
Interpersonal Skills

Education

Degree in Data Science
Degree in Computer Science
Degree in Information Technology

Tools

Azure Data Warehouses
Data Lakes
Data Governance Tools

Job description

About Our Client

Leading Transportation organisation

Job Description

Leading Transportation organisation are seeking to hire a Head of Data & Data Engineering in this newly created role. You will lead a team of developers and analysts to provide a robust data platform on their journey to self-serve information, providing insight and analysis with the sole purpose of providing excellent service to customers. Outside of Data Engineering you will fulfil a broad remit across Data Architecture, Data Security and Data Quality Management.

Dimensions of the role:

  • Deliver a wide range of projects with internal and external suppliers and have autonomy over an annual budget of £1M - £2M.
  • Projects will typically consist of contributing to 3-7 smaller projects and 1 - 2 larger projects.
  • Manage a team of 3 staff with the scope to hire additional headcount in 2025.
  • Strategy & Planning, typically annually and up to 3 years in advance.

Key Responsibilities:

  • Lead and manage the Data Engineering team, by providing strategic direction, and fostering a high-performing and collaborative working environment to ensure alignment with business goals, foster innovation and enhance productivity.
  • Develop and implement a robust data engineering strategy that aligns with the IT and Digital Services Strategy and Data Strategy by providing alignment with business objectives, engagement with key stakeholders, assessment of the current data landscape, defining clear objectives, and developing a data governance framework.
  • Oversee the development, implementation and management of a robust data platform ecosystem to leverage the power of data and AI initiatives by setting measurable goals such as; reducing operational costs, increasing data accessibility and by designing and building a scalable and flexible Azure Cloud environment.
  • Support ETL common data structure and business intelligence architectures by designing and implementing ETL processes, establishing common data structures, and developing business intelligence architectures to provide improved data quality and consistency and operational efficiency.
  • Champion the adoption of data-driven decision-making across the organisation by securing leadership buy-in, articulating a clear vision and set of measurable goals for the adoption of data-driven practices.
  • Lead on the build of a data community through the creation of cross-functional working, shared platforms and data stewardship.
  • Foster a culture of service excellence and continuous improvement within the team by developing and implementing training programs.
  • Lead the development and execution of a data governance framework by defining its objectives and scope, establishing a governance structure, developing policies and standards, and implementing data management processes.
  • Oversee the implementation and integration of big data technologies and tools, including a focus on optimising performance and efficiency for AI workloads.
  • Lead on performance improvements by collaborating with IT and Digital Services Team senior team to identify data-driven solutions to business challenges.

The Successful Applicant

Key Skills and Experience:

  • Degree in Data Science, Computer Science, Information Technology, or a related field.
  • Significant experience of developing and delivering data strategies.
  • Demonstrable experience in leading and managing data platform development and operations within a large organisation.
  • In-depth knowledge of data platform technologies, including Azure data warehouses, data lakes, and data governance tools.
  • Knowledge of optimising data pipelines, pipeline architectures and integrated datasets.
  • Demonstrable knowledge of working with and understanding data architecture principles and best practice.
  • Experience of procuring and implementing cloud-based data management solutions.
  • Experience of implementing data security and compliance frameworks.
  • Excellent communication and interpersonal skills, with the ability to collaborate effectively with technical and non-technical stakeholders.
  • Experience of leading a team and providing solutions to data challenges.
  • Experience with scripting languages (e.g., Python, SQL).

What's on Offer

Opportunity to work on a major Data Transformation Programme
Opportunity to drive Data Strategy, Platforms and Growth

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