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hackajob is partnering with Baringa Partners to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.
Our Data, AI, Solutions & Engineering (DAISE) practice is looking for an experienced Data Engineer to join the team.
In DAISE, we are 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
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. Depending on the level, you can be a part of our leadership team, shaping the direction of the practice, growing the business and leading our people.
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
Baringa Partners LLP is a Limited Liability Partnership registered in England and Wales with registration number
OC303471 and with registered offices at 62 Buckingham Gate, London, SW1E 6AJ, UK.
Baringa Confidential
• 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
We are seeking passionate and dynamic data engineers who are excited by empowering decision
making with data, and keen to take an active part in the growth of the company. We’re looking for
people who can both advise our clients and, when needed, get hands on in technical delivery to bring a solution to life.
• 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
• Good understanding and expertise in delivering data architectures, data pipelines and
solutions that are robust and scalable using modern delivery frameworks and tools
• 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
Baringa Partners LLP is a Limited Liability Partnership registered in England and Wales with registration number
OC303471 and with registered offices at 62 Buckingham Gate, London, SW1E 6AJ, UK.
Baringa Confidential
• 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
• Hands on data engineering experience
hackajob is partnering with Baringa Partners to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.