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Senior Data Engineer

Titan Wealth Introduction


In 2021, Titan Wealth set out to create a top-to-bottom, fully integrated service to make wealth management more efficient – and more effective – for individuals, advisers, businesses and investment professionals alike. We’re tackling the fragmentation holding back the wealth management sector, its clients and their advisers – to everyone’s frustration. By vertically integrating separate wealth service components under one roof for the first time, we’ve created a better way of working for everyone’s benefit.


Our values are:


Creativity – We relentlessly seek new ways of thinking and new methods of delivering, so we can keep rewriting the rulebook for wealth services.

Commitment – It takes time, effort and energy to make an impact. There’s a ‘can do’ spirit in everything we do: for advisers, individuals, businesses and professional investors.

Collaboration – Bringing the system together allows us to bring people together more effectively: around ambitions, assets, solutions, performance. We’re inviting people to join us and see for themselves the difference we can make as a whole.


Our Cape Town team: Your needs determine where you work – whether that be in our Cape Town office, your home or anywhere else in South Africa that suits your life. Cape Town is our ‘Tech Hub’ with the majority of our engineering team based there. We encourage a work life balance with flexibility on location and hours


One shared culture


- Multi-disciplinary teams working together on challenges and masterfully delivering award-winning, cutting-edge

solutions.

- An informal atmosphere where leaders are accessible to problem-solve or provide support – in person or remotely.

- Your personal wellbeing is front and center with a commitment to making you feel comfortable.

Learn more about Titan Wealth


The Senior Data Engineer is responsible for designing, building, and maintaining scalable data solutions to enable efficient data management, integration, and analytics. This role involves ensuring data governance, security, and compliance while optimising data processing systems to meet business needs.


The Senior Data Engineer collaborates with cross-functional teams, including data scientists, analysts, software engineers, and qa engineers, to enable data-driven decision-making. As a Senior Data Engineer, you welcome any chance to innovate and use your initiative but do so while implementing according to best practices to produce tested, secure, reliable, and

scalable solutions


Job Responsibilities
  • Collaborate with IT Infrastructure teams to ensure the data infrastructure is secure, stable, scalable, and architected for high availability, with built-in automation and disaster recovery capabilities.
  • Collaborate with stakeholders to translate business requirements into technical solutions.
  • Collaborate with Data Analysts, Software Engineers, and Cloud Engineers as part of a team to contribute to the data architecture detail designs and ensure that data solutions deliver business value.
  • Lead the design, development, and maintenance of scalable data pipelines using Microsoft Fabric.
  • Architect and optimise the data warehouse using Azure Data Services.
  • Implement and maintain ETL/ELT pipelines, ensuring that reasonable data quality checks are implemented in the data pipelines to maintain a high level of data accuracy, consistency and security.
  • Oversee data ingestion, transformation, and integration to support business intelligence and analytics.
  • Provide mentorship, training, and career development for data professionals.
  • Stay up to date with emerging technologies in data engineering, analytics, and Microsoft Fabric advancements.
  • Support incident management by troubleshooting issues, tracking root causes, providing timely resolutions, and generating performance and incident reports.
  • Develop and maintain documentation, including schemas, configurations, procedures, and troubleshooting guides, to support knowledge transfer and ensure consistency and reliability in data operations
  • Conduct capacity planning and scalability assessments, forecasting resource requirements and growth trends, and recommending infrastructure upgrades or optimizations to accommodate future needs.
  • Proactively assess the current implementations, configurations, processes, platforms, technologies, budgets, strategies, and plans.
  • Adhere to change management processes, documenting and communicating changes, updates, and maintenance activities to stakeholders, and obtaining approvals as required.


Job Qualifications
  • 3+ years of experience as a Senior Data Engineer, with expertise in ETL/ELT processes, and pipelines.
  • 2-3 years of experience designing and developing streaming data pipelines for ingestion or transformation using Azure Technologies.
  • Familiarity with Microsoft Azure and DevOps principles.
  • Experience working within Agile/Scrum teams, contributing to collaborative development processes.
  • Microsoft Certified: Fabric Analytics Engineer Associate, Fabric Data Engineer Associate or similar certifications
  • ITIL, DevOps, or Agile certifications are a plus.


Job Requirements
  • Experienced with Microsoft Azure and DevOps.
  • Experienced with High Availability.
  • Experienced with Data Ingestion.
  • Experienced with Data Governance.
  • Experienced with Data Warehousing and Data Lakes.
  • Experienced with monitoring tools like DataDog.
  • Experience designing, building, and maintaining data warehouses and data lakes.
  • Experience designing, building, and maintaining ETL/ELT pipelines/processes.
  • Experience with programming languages such as Python, and SQL.
  • Experience with relational databases.
  • Experience with data visualization tools.
  • Experienced at working independently within a team and has the demonstrated knowledge and skills to deliver data outcomes without supervision


Why work for us?


- Flexible working environment with remote work as the focus, we use Workshop 17 at the V&A Waterfront in Cape Town as a co-working location when face-to-face would be beneficial to the team.

- We believe in a healthy work/life balance, especially with the shift to a remote work focus. We encourage our team members to take time off, refocus, and reenergize and that a healthy separation from work can be maintained.

- We have an open, trusting, empowering, friendly and importantly informal and relaxed environment. Your ideas and experience could contribute to shaping how we work, what we work on and help us continually drive innovation and improvement.

- Competitive salary – we keep up with the latest market trends and strive to pay competitively.

- Competitive holiday leave – 20+ days’ annual leave (earn an extra day for every year worked, up to 3 extra days)

- Performance-related discretionary annual bonus.

- Retirement, Risk, and Medical-Aid contribution – we will contribute to a medical aid of your choosing.

- Training budget allowance for further study or attending conferences, including paid days off to study.


The Titan Wealth Group is firmly committed to fostering an inclusive and equitable environment for everyone who works with us, regardless of their race, age, gender, sexual orientation, religion, physical ability or disability, or political affiliation. We believe that having a diverse team allows us to create the best possible outcomes for our clients and team members. We strive to provide equal opportunities in all aspects of the workplace with respect to recruitment and career advancement, pay and benefits, training and development opportunities and other job-related activities

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What You Should Know About Senior Data Engineer, Titan Wealth Holdings Limited

Are you ready to step into an exciting role as a Senior Data Engineer at Titan Wealth in Cape Town? We're on a mission to revolutionize wealth management by creating seamless, efficient services that truly benefit individuals and financial professionals alike. As part of our dynamic team, you'll have the freedom to work from our Cape Town office, your home, or anywhere else in South Africa, all while enjoying the perfect work-life balance. In your role, you’ll be designing, building, and maintaining scalable data solutions that empower data-driven decision-making across the organization. Collaborating with cross-functional teams, including data scientists, analysts, and software engineers, you'll implement best practices to ensure that our data solutions are secure, reliable, and optimal. Your expertise in Azure Technologies and DevOps will shine as you lead the development of robust data pipelines and oversee data ingestion and transformation for analytics. Here at Titan Wealth, we foster an informal atmosphere where creativity and collaboration thrive. We are committed to your personal well-being and growth, providing a nurturing environment for you to innovate and contribute to our collective success. If you're enthusiastic about emerging technologies in data engineering and are looking to make a tangible impact, come join us!

Frequently Asked Questions (FAQs) for Senior Data Engineer Role at Titan Wealth Holdings Limited
What are the primary responsibilities of a Senior Data Engineer at Titan Wealth?

As a Senior Data Engineer at Titan Wealth, your main responsibilities include designing and maintaining scalable data solutions, collaborating with cross-functional teams to translate business needs into technical specifications, and overseeing the implementation of ETL/ELT pipelines. You will also ensure data governance and compliance while optimizing our data architecture to support business intelligence and analytics.

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What qualifications do I need to become a Senior Data Engineer at Titan Wealth?

To qualify for the Senior Data Engineer position at Titan Wealth, you should have at least 3 years of experience in data engineering, specifically with ETL/ELT processes. Familiarity with Microsoft Azure, Agile methodologies, and experience designing data pipelines are essential. Certifications like Microsoft Certified: Fabric Analytics Engineer Associate or similar will significantly boost your candidacy.

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How does Titan Wealth support the career growth of its Senior Data Engineers?

At Titan Wealth, we prioritize your professional development. As a Senior Data Engineer, you'll have access to a dedicated training budget that supports further study and attendance at conferences. We also offer mentorship and career advancement opportunities to help you grow within the company.

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What technologies will I work with as a Senior Data Engineer at Titan Wealth?

As a Senior Data Engineer at Titan Wealth, you will work extensively with Microsoft Azure services, design data solutions employing Azure Data Services, and utilize tools for data ingestion and transformation. Familiarity with Python, SQL, and data visualization tools is also important for effectively carrying out your responsibilities.

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What is the work-life balance like for Senior Data Engineers at Titan Wealth?

Titan Wealth values work-life balance highly for its employees, including Senior Data Engineers. You’ll enjoy a flexible working environment, allowing you to work from our Cape Town office, remotely, or wherever suits you best. We encourage taking time off to re-energize, ensuring that your personal well-being is a top priority.

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Common Interview Questions for Senior Data Engineer
Can you explain your experience with designing and maintaining ETL/ELT processes?

In your response, share specific examples of ETL/ELT processes you've designed or maintained. Highlight the tools and technologies used, such as Azure Data Services and Microsoft Fabric, and discuss the outcomes you achieved in terms of data quality and efficiency.

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What steps do you take to ensure data governance and compliance in your engineering work?

Discuss your understanding of data governance and how you implement policies to maintain compliance. Mention specific frameworks you've used and the importance of data security measures in your projects to give the interviewer a clear picture of your approach.

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Describe a challenging data problem you faced and how you resolved it.

Share a specific scenario where you encountered a difficult data-related issue. Explain the steps you took to analyze the problem, the solution you implemented, and what you learned from the experience, showcasing your problem-solving skills and collaborative approach.

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How do you stay updated with advancements in data engineering technologies?

Mention your strategies for staying informed about the latest trends and technologies in data engineering, such as attending webinars, participating in forums, or pursuing relevant certifications. This shows your commitment to continuous learning and adaptation in the fast-evolving tech landscape.

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Can you describe your experience with cloud technologies, particularly Azure?

Share your hands-on experience with cloud technologies, focusing on Microsoft Azure. Discuss specific projects where you utilized Azure services for data storage, processing, or analytics, emphasizing the impact these contributions made on data management efficiency.

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How do you approach capacity planning and scalability assessments for data solutions?

Discuss your methodology for forecasting resource requirements and growth trends, sharing any tools or frameworks you use. Provide examples of how your assessments led to successful infrastructure upgrades or optimizations in previous roles to demonstrate your expertise.

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What is your experience working in Agile/Scrum teams?

Illustrate your experience collaborating within Agile/Scrum frameworks, emphasizing your role in team dynamics. Provide an example of how this methodology improved project outcomes, demonstrating your flexibility and teamwork.

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How do you approach incident management and troubleshooting in data environments?

Share your process for handling incidents when they arise. Discuss your approach to root cause analysis and how you communicate effectively with stakeholders during incident resolution to showcase your proactive and solution-oriented mindset.

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What programming languages are you proficient in and how do they relate to your data engineering work?

Highlight the programming languages you are most comfortable with, such as Python and SQL, and elaborate on how you've applied them in data engineering tasks including building pipelines and data manipulation tasks. This reinforces your technical competency.

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How do you ensure high data quality in your engineering processes?

Explain your strategies for maintaining data accuracy and quality throughout your engineering workflows. Discuss techniques or tools you've implemented to carry out data quality checks and highlight any successes you’ve had in ensuring robust data integrity.

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titan is a discretionary fund management / wealth and asset management business. targeting £50 billion in assets under administration over the next three to five years and assets under management of £40 billion, titan aims to bring high-quality ex...

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DATE POSTED
April 1, 2025

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