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 an experienced Data Engineer to join the team.
In DAISE, we’re focused on delivering value-adding, sustainable data capabilities, aligned to our client’s specific needs. This expertise is applied across clients in all of our industry market sectors (Financial Services, Products & Services, Energy & Resources, Pharmaceutical & Lifesciences and Government).
What you will be doing
- Defining and implementing on premise or cloud architectures, (e.g. a cloud data warehouse, data lake or data platform) to enable digital transformation
- Working with clients on 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 organisation’s 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 independently 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
- Experience with mentoring, guiding, training and/or upskilling people on technical concepts who are earlier-on in their career from the team, and supporting their growth
Your skills and 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 own and run complex client engagements, interact with leaders across industry, work with senior stakeholders to help them understand and frame their problems, assess their current state, and make impactful recommendations which help shape their thinking
- Strong hands on expertise in data engineering, delivering data architectures, data pipelines and solutions that are robust and scalable using modern delivery frameworks and tools (e.g. Databricks)
- Experience in using cloud technologies (Azure, AWS, GCP) as both infrastructure and as a service, as well as big data platforms either on-premise or cloud setup
- Knowledge of different technology stacks including common legacy and modern stacks, experience of applying DevOps practices to data engineering as well as ability to build CI/CD pipelines
- Competent in SQL and at least one modern programming language, such as Python
- Understanding of key core concepts like distributed computing, batch & stream processing, functional and object-orientated programming, how pipelines are built and deployed on cloud, pipeline schedules and SLAs
- Well-versed with documentation and artefacts that need to go along with the solution design and delivery work
What a career at Baringa will give you
Baringa is a People First company and wellbeing is at the forefront of our culture. We recognise the importance of work-life balance and flexible working and provide our staff amazing benefits.
- Generous Annual Leave Policy: 5 weeks of annual leave fully available at the start of each year. Additional 2 weeks of paid leave after 5 years continuous service.
- Flexible Working: Hybrid working policy and more flexibility around taking unpaid leave.
- Corporate Responsibility Days: 3 days per year to help social and environmental causes and increase impact on communities.
- Wellbeing Fund: Annual People Fund to support wellbeing through an activity of choice.
- Profit Share Scheme: Participation in the Baringa Group Profit Share Scheme.
Diversity and Inclusion
We are proud to be an Equal Opportunity Employer. We believe that creating an environment where everyone feels a sense of belonging is central to our culture and that diversity is paramount to driving creativity, innovation, and value for our clients and for our people.
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