Baringa - Senior Manager, Data Engineering
Requirements
• 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 • Line management / team leadership experience, ideally in multiple geographical locations • Experience working to a formal sales target in a consulting environment and evidence of bringing in new clients • 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. • Profit Share Scheme: All employees participate in the Baringa Group Profit Share Scheme so everyone has a stake in the company’s success. • Diversity and Inclusion
Responsibilities
• 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 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 • Directly line managing teams of data engineers, responsible for managing their workloads and their development throughout their career at Baringa • Generating and originating new business development opportunities from your network of connections and cross-selling and upselling across existing client projects
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