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 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 (, 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 “I’ve been
working with a large energy client to build their new trusted, end-to-end data
platform in Azure from scratch. It has been really rewarding seeing how the
lakehouse architecture and data model I helped design are brought to life via
collaboration with our client’s data specialists – we genuinely work as a team.
I’ve particularly enjoyed helping them build out and optimise their ETL
pipelines in Databricks and Data Factory with a mixture of Spark, Python, and
SQL.” – Mei Y., Senior Consultant
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.
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 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-premises 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 a 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. Be a ‘lifelong learner’ and can demonstrate a drive to always be learning and developing your skillsets and you are keen to help develop those around you. A degree in a technical discipline (computer science, engineering or another STEM discipline) would be helpful but is not essential for success Three years of more of hands-on data engineering experience
We recruit
individuals at all levels based on merit. Don’t worry about ‘fitting into a
quota’ – if you’ve got the skills we are after we would love to talk to you.
What a career at Baringa will give you
Putting People First.
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. Some of these benefits include: Generous Annual Leave Policy: We recognise everyone needs a well-deserved break. We provide our employees with 5 weeks of annual leave, fully available at the start of each year. In addition to this, we have introduced our 5-Year Recharge benefit which allows all employees an additional 2 weeks of paid leave after 5 years continuous service. Flexible Working: We know that the ‘ideal’ work-life balance will vary from person to person and change at different stages of our working lives. To accommodate this, we have implemented a hybrid working policy and introduced more flexibility around taking unpaid leave. Corporate Responsibility Days: Our world is important to us, so all our employees get 3 every year to help social and environmental causes and increase our impact on the communities that mean the most to us. Wellbeing Fund: We want to encourage all employees to take charge and prioritise their own wellbeing. We’ve introduced our annual People Fund to support this by offering every individual a fund to support and manage their wellbeing through an activity of their choice. Career Progression: No one develops at the same pace. That’s why we have quarterly rather than annual promotion reviews. We don’t have any quotas: if you’re ready and delivering at the right level, you’ll get that promotion. Profit Share Scheme: All employees participate in the Baringa Group Profit Share Scheme so everyone has a stake in the company’s success.
