Data Engineering Manager

Midrand, Johannesburg
Permanent
Full-time

3 days ago
Apply easily

Company DescriptionDeloitte is a leading global provider of audit and assurance, consulting, financial advisory, risk advisory, tax and related services. Our global network of member firms and related entities in more than 150 countries and territories (collectively, the “Deloitte organisation”) serves four out of five Fortune Global 500® companies. Learn how Deloitte’s approximately 457,000 people make an impact that matters at .Deloitte Consulting — Our CultureInnovation, transformation and leadership occur in many ways. At Deloitte, our ability to help solve clients’ most complex issues is distinct. We deliver strategy and implementation, from a business and technology view, to help lead in the markets where our clients compete.Are you a game changer? Do you believe in adding advantage at every level in everything you do? You may be one of us.Deloitte Consulting is growing, with a focus on developing our already powerful teams across our portfolio of offerings. We are looking for smart, accountable, innovative professionals with technical expertise and deep industry experience insights. The combination of our 6 areas of expertise, our well-developed industry structure and our integrated signature solutions is a unique offering never seen before on the African continent.Deloitte Consulting - AI & DataBe at the forefront of the revolution.AI-enabled technologies are shaking business foundations. Some find this daunting. We see opportunity—for clients, societies, and people.Deloitte’s AI & Data Specialists partner with clients to leverage AI and reach new levels of organisational excellence. We turn data into insights, into action—at an industrial scale.Join us as we enable clients to grasp the future and reach new heights. Learn from the best in the field to create solutions blending data science, data engineering, and process engineering with our industry-leading expertise.Ready to shape the future?Join us to reimagine what's possible with data. At Deloitte, your engineering leadership will drive outcomes that matter — not just pipelines, but real-world transformation.At Deloitte, we want everyone to feel they can be themselves and to thrive at work—in every country, in everything we do, every day. We aim to create a workplace where everyone is treated fairly and with respect, including reasonable accommodation for persons with disabilities. We seek to create and leverage our diverse workforce to build an inclusive environment across the African continent.Join us. Shape the future. Win bigJob DescriptionAs a Data Engineering Manager, you will lead the design, build, and scale of enterprise-grade data infrastructure and pipelines to power advanced analytics, AI solutions, and AI transformations across Tier-1 clients on the African continent. You will work at the intersection of business strategy and technical delivery, guiding multidisciplinary teams to enable data-driven decision-making and measurable business impact.You will be responsible for:

Architecting scalable, secure, and high-performance data platforms
Leading the design and development of robust ingestion, transformation, and governance pipelines
Managing project timelines and deliverables across diverse industry engagements
Coaching data engineers and analysts to deliver client-ready solutions
Collaborating with AI/ML specialists, solution managers, and client stakeholders to translate strategic needs into modern data capabilities

Key Responsibilities

Lead and own data engineering workstreams across AI transformation, analytics modernisation, and digital core rebuilds
Design and implement data pipelines using modern architectures (e.g., Delta Lake, Data Mesh, Data Lakehouse)
Drive data modelling, data quality, and metadata management best practices aligned to business KPIs
Build, manage, and scale cloud-native data infrastructure (e.g., on AWS, GCP, Azure)
Mentor junior engineers, oversee code reviews, and ensure delivery quality to tier-1 consulting standards
Translate business and industry requirements into scalable data engineering solutions
Partner with AI, strategy, and business consulting teams to deliver end-to-end data value realisation

Qualifications

Bachelor’s Degree in Data Science, Engineering or related Degree
Post Grad Degree in Data Science Engineering or related Degree,
Data related Cloud Certifications

Additional Information

8–12+ years of experience in data engineering, with at least 2 years in a team leadership or technical management role
Proficient in building modern ETL/ELT pipelines using tools like Apache Spark, DBT, Kafka, Airflow
Strong programming skills in Python and SQL (Scala/Java a plus)
Deep experience with cloud data ecosystems (e.g., AWS Redshift/Glue, GCP BigQuery/Dataflow, Azure Synapse)
Strong understanding of data warehousing, data lakes, streaming, and batch architecture
Experience with CI/CD for data, testing frameworks, and infrastructure-as-code (Terraform, etc.)
Familiarity with data governance and security frameworks in regulated industries (e.g., FSI, healthcare)
Previous experience in a top-tier consulting environment or client-facing data role
Exposure to AI/ML deployment pipelines, MLOps, or analytics productisation
Experience in delivering data modernisation programs at enterprise scale
Cross-industry knowledge with a focus on FSI, Telco, Consumer, or Healthcare

At Deloitte, we want everyone to feel they can be themselves and to thrive at work—in every country, in everything we do, every day. We aim to create a workplace where everyone is treated fairly and with respect, including reasonable accommodation for persons with disabilities. We seek to create and leverage our diverse workforce to build an inclusive environment across the African continent.Note: The list of tasks / duties and responsibilities contained in this document is not necessarily exhaustive. Deloitte may ask the employee to carry out additional duties or responsibilities, which may fall reasonably within the ambit of the role profile, depending on operational requirements.Be careful of Recruitment Scams: Fraudsters or employment scammers often pose as legitimate recruiters, employers, recruitment consultants or job placement firms, advertising false job opportunities through email, text messages and WhatsApp messages. They aim to cheat jobseekers out of money or to steal personal information.To help you look out for potential recruitment scams, here are some Red Flags:

Upfront Payment Requests: Deloitte will never ask for any upfront payment for background checks, job training, or supplies.
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