Data Engineer

vor 17 Stunden

Melbourne, Österreich Bank Australia Limited Vollzeit

Job Category: Banking and Financial Services
Do you want to be part of using the business of banking as a force for good?
Do you want to create positive impact for people and the planet?
Bank Australia is the bank for people who want to be part of a movement creating a fairer and more just world.
We're growing fast as more people choose to align their banking with their values.
We're a customer owned, B Corp certified bank.
We empower our staff and 190,000+ customers to be part of the clean money movement.
We currently have a one year fixed term, full time opportunity for a Data Engineer to join our Data Analytics & Insights Department.
This role will be based in our new, state-of-the-art Collingwood Head Office and will report to the Manager Data Engineering.
The Data Engineer will play a pivotal role in uplifting data and analytics across the organisation.
This will be achieved through collaborating closely with the Bank's various business units and functions to understand, capture, detail and articulate requirements for the Bank's data initiatives.
We have big plans to become Australia's most trusted bank and a leading purpose-driven business.As a certified B Corp, we're part of a global business community who meet the highest social and environmental standards, putting purpose over profit.Every role and person in our bank is essential to bringing our values, purpose and aspiration to life.We offer flexible working options, competitive salary and 13% super.Our staff have access to a range of meaningful benefits to support their physical and mental wellbeing including 24/7 free counselling, free flu vaccinations and discounted gym memberships.We also support staff with study assistance, paid parental leave (regardless of gender), volunteer, bereavement, gender affirmation and family violence leave; and the opportunity for bonus annual leave.We support our staff to grow their careers through learning and development and an organisational culture where we reward and recognise innovation and values, not long hours.We are committed to building an inclusive culture and a diverse workforce that reflects the Australian community.We care for a conservation reserve – where we work with key partner organisations to protect threatened species and involve staff in conservation.What you will be doing Support the development and maintenance of the organisation's data platform, data warehouse and batch, and streaming data pipelines, which are used in the creation and delivery of data analytics products and servicesCollaborate with managers within the organisation to establish, improve and implement processes, tools and frameworks for successful delivery and managementSupport the design and deployment of the organisation's data engineering operating model and Data DevOpsChampion and advocate data engineering considerations within enterprise-wide data architecture design and build forumsProvide experienced thought leadership in modern data engineering practicesKeen communicator and a natural collaborator that influences through actions, uniting the team through journey participationWork with the Data Governance function to ensure complianceRaise the organisational capability to successfully leverage data as an asset, to maximise the impact of analytics products and servicesProvide technical support to other Data Engineers across the teamChallenge norms and influence people with the support of data driven insightsSupport the preparation of business cases, discussion papers, procedures, templates and Steering Committee packs.What you will bring Solid demonstrable experience in data engineering within a complex organisationComprehensive capabilities to guide, mentor and teach other technical resources on engineering best practiceExtensive experience using data tools such as Microsoft SSMS, Azure Databricks, Azure Data Factory or other ingestion toolsBachelor's degree in Statistics, Mathematics, Computer Science, Information Management or similar is desirableStrong capabilities in integrating diverse data sets into cohesive and functional analytics platforms, ensuring data quality and accessibility for stakeholdersA collaborative working style that is steadfast and approachableDemonstrable exposure to project or transformation activities including gathering and developing comprehensive business requirements and developing implementation strategies.
(e.g.
as Business Analyst, Data Engineer or Data Analyst)Previous experience in the retail banking industryAdditional skills and experience with ETL, Python and R Script, or other programing languagesDemonstrable experience in business analysis, operational risk and control, compliance testing and assurance, workflow audit, or any process and procedure designsAbility to communicate strategic and technical concepts with clarity to stakeholders across all levels of technical competenceAbility to work autonomously across multiple initiativesCommitment to Bank Australia's purpose, aspiration, values and brand as well as the B Corp ethos.By submitting an application you agree to Bank Australia's Privacy Policy for applicants and confirm that you are legally able to work in Australia.
Bank Australia is an equal opportunity employer committed to sustainable development.
We encourage people from different backgrounds to apply, including Aboriginal and Torres Strait Islander people, people from different cultural backgrounds and people with disabilities because we want to reflect the diversity of our communities.
We are committed to making reasonable adjustments to provide a positive, barrier-free recruitment process and supportive workplace.
Bank Australia reserves the right to withdraw this advertisement at any time.
Candidates will be progressed as applications are received, rather than after the advertisement closure date.If you wish to be considered, please submit your application as soon as possible.
Please note, the successful candidate will be subject to satisfactory background checks including but not limited to police and previous employment.
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