Management Consultant - Data Engineering
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Responsibilities
- You will be using your experience to help our clients solve their most important data challenges. You would be also responsible to support the growth of our team, helping them to build the skills they need to solve our client's challenges.
- Typical engagements include:
- Defining and implementing on premise or cloud architectures, for example, a cloud data warehouse, data lake or a data platform to enable digital transformation
- Working with clients in more traditional areas of data engineering such as, data warehousing, building operational ETL/ELT data pipelines across a number of sources, and constructing relational and dimensional data models
- Performing maturity assessments across clients' data capabilities and recommending improvements
- Building technology blueprints and advising clients on the different technology options
- Translating business requirements (both functional and non-functional) into solutions, ensuring compliance with the organisations strategy, policies and standards and in some cases, help customers to define new policies, principles and standards
- Helping clients to identify risks and mitigations for their complex data programmes, as well as transition to modern cloud-based infrastructures (AWS, Azure, GCP) by leveraging related architecture patterns (e.g., APIs, events)
- Working with clients in key areas of data governance, such as in defining principles including, but not limited to Master Data Management, Data Lineage and Data Security
- Your skills and experience
- Below we list some of the skills we are looking for. Of course, do not expect you to be an expert in all areas and we understand that experiences vary based on the background and years of experience:
- Passionate individual who is excited by problems with data and can bring a good mix of technical delivery and core consulting skills in client engagements
- Ability to design and maintain robust data pipelines and architectures on modern delivery frameworks to meet functional business requirements
- Experience in using cloud technologies such as AWS or GCP or Azure, as well as big data platforms (e.g., Spark, Hive, Databricks)
- Working knowledge of relational databases and NoSQL database technologies.
- Ability to understand and design CI/CD pipelines
- Competent in SQL and or at least one modern programming language, such a Python
- Experience with BI visualisation tools would be beneficial, but not required
- Be a 'lifelong learner' and can demonstrate a drive to always be learning and developing your skillsets
- Hold a bachelor's degree across any discipline. A master
Additional Information
About Baringa Baringa is a global consulting firm that partners with leaders to drive change and create value. With deep industry expertise, and enabled by advanced technology, the firm helps clients to deliver with greater confidence and certainty. With over 2,000 people across the UK, Europe, North America, Asia and Australia, the firm combines global insight with local understanding. The firm works across energy and resources, financial services, government and public sector, consumer products and retail, pharmaceuticals and life sciences, manufacturing, and technology, media and telecoms, with capabilities spanning strategy, transformation and operational excellence - all powered by advanced technology, data, AI and digital innovation. Clients value Baringa's collaborative approach and the way its teams integrate seamlessly - all working with a shared understanding of what matters most. The firm is known for its kind, curious experts who listen closely and care deeply about client success as they help clients transform energy markets, modernise financial platforms, expand telecoms and digital networks through advanced data analytics, enable digital services in government, and unlock growth in consumer sectors. Certified as a Great Place to Work around the world, Baringa has been recognised by the Financial Times in 22 categories of its UK Leading Management Consultants rankings, and by Forbes for four consecutive years as one of the World's Best Management Consulting Firms. Our Data, AI, Solutions & Engineering practice are looking for Consultants to join the team. Our Data, AI, Solutions & Engineering team really likes helping our clients solve their complex problems with data, by implementing controls and governance of data, creating actionable insights, embedding machine learning solutions or building data platforms. We bring the right team and skills on the table and can offer deep expertise across Data Strategy, Data Science & Engineering, Data Visualisation, Data Management, Data Architecture and Software Development.
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