Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 23 hours ago

Senior Data Engineer

Lula11 open roles

Where
Cape Town, Western Cape, South Africa, Remote
Work mode
Remote
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowSenior Data EngineerLula · Cape Town, Western Cape, South Africa, Remote

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Lula's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.6% of postings close within 7 days. Measured by our own scanner across the market. Lula postings stay open a median of 12 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.7%3 days
  3. 13.6%7 days
  4. 21.9%14 days
  5. 36.9%30 days
  6. 59.0%60 days
This job: posted 23 hours ago

Lula median: 12 days open

The posting

About Lula

Lula is on a mission to simplify business funding for South African SMEs. We build fast, digital-first fintech tools that make cash flow management seamless so business owners can focus on doing what they love. We’re a fast-growing, tech-driven team that values curiosity, collaboration, and high impact over red tape. Speaking of love, we’re looking for Lulas who love to make a difference to join our team and change the game.

Culture Code

  • We Embrace Curiosity - We continuously seek better ways to deliver value with a solutions-over-problems mindset.
  • We win as One - We collaborate, build strong relationships and value diverse perspectives
  • We’re Driven by Purpose - We are passionate and committed to delivering the best products and services for SMEs
  • We Execute with Ambition - We set ambitious goals, embrace challenges, and deliver with focus and determination.

ROLE PURPOSE

As a Senior Data Engineer at Lula, you will work at the heart of our data platform, building and running the pipelines and data systems the business relies on. You will work with our data scientists, analytics engineers, machine learning engineers and analysts to deliver reliable data that supports decisions across product, operations, finance, marketing and credit.

Your focus is on owning the design and delivery of complex data pipelines on our Azure and Snowflake platforms, setting the engineering standard in your area, and developing the engineers around you. You will turn ambiguous needs into reliable solutions, mentor more junior colleagues, and help grow small and medium enterprises in South Africa through better use of data.

KEY RESPONSIBILITIES

  • Partner with stakeholders to translate business needs into scoped, sequenced delivery plans, and communicate designs, trade-offs and progress clearly to technical and non-technical audiences.
  • Own the design and delivery of complex data pipelines and data models end-to-end on our Azure and Snowflake platforms, documenting design decisions and the alternatives considered.
  • Create and maintain robust ELT/ETL products for batch, micro-batch and near real-time data pipelines using Airbyte, Event Grid, Azure Data Factory, Kafka or similar tools.
  • Assemble data sets that meet functional and non-functional business requirements, and develop and maintain operational and analytical data systems.
  • Own the reliability, monitoring, data quality and cost of the pipelines in your area, and drive fixes and improvements when they degrade.
  • Follow test-driven development practices, and set and uphold standards for testing, code quality and documentation through code review.
  • Work as part of a multi-disciplinary data team (Data, Analytics, Machine Learning Engineers) and collaborate with analysts and data scientists across the business.
  • Mentor junior and intermediate colleagues, and contribute to hiring and onboarding.
  • Demo work to technical and non-technical stakeholders, and create documentation and training material for the solutions delivered.

THE SKILLS AND EXPERIENCE WE’RE LOOKING FOR

  • A degree in computer science, engineering, information systems, mathematics or a related quantitative field, or equivalent practical experience
  • 3-5 years’ experience in data engineering
  • Strong hands-on experience with Snowflake, including warehouse and resource management, semi-structured data handling (VARIANT, JSON), and performance and cost optimisation
  • Experience with dbt (Core or Cloud): models, tests, macros, snapshots, and documentation generation
  • Experience using schemachange, Flyway, Liquibase, or a similar tool to manage database change control as code
  • Proficiency in Jinja templating for building dynamic, reusable SQL/config
  • Advanced working knowledge of SQL (DDL, DML, JSON) and solid experience managing incremental/batch loading methodologies (CDC, CT, CDC-style watermarking)
  • Proven experience building ingestion pipelines from diverse source types: APIs, flat files, relational/NoSQL databases, and Azure Table Storage
  • Skilled and experienced in the Azure (or AWS/GCP) cloud platform
  • Good understanding of relational data structures, including keys, constraints, and triggers
  • Experience with performance tuning and optimisation of RDBMS and/or cloud data warehouses
  • Experience with relational and NoSQL database technologies (MS SQL Server, MongoDB, CosmosDB, etc.)
  • Ability to design and implement logical and physical data models that support organisational needs
  • Good understanding of data modelling, data management and governance methodologies
  • Strong analytic skills working with structured, semi-structured and unstructured data sets
  • Proficiency in Python (preferred), Java, or Scala
  • Practical experience applying generative AI / LLM tools to engineering or data workflows (e.g. Copilot, ChatGPT, Claude, or similar) and agentic development
  • Experience implementing CI/CD pipelines through technologies such as GitLab, GitHub Actions, Azure DevOps, etc.
  • Experience deploying data systems in an Infrastructure-as-Code (IaC) manner, preferably using Terraform
  • Ability to produce high-quality technical documentation as a routine part of delivery
  • Experience supporting and working with cross-functional teams in a dynamic environment
  • Communicates effectively with both technical and non-technical stakeholders
  • Experience mentoring or technically guiding other engineers

Advantageous

  • Experience with Airflow and Airbyte
  • Experience with event-driven systems such as Kafka or Azure Event Grid
  • Experience building feature pipelines or data products that support machine learning and analytics workloads
  • An interest in the FinTech space

OUR TECH STACK

  • Azure (Functions, databases, blob storage)
  • DBT
  • Snowflake
  • Airflow
  • Airbyte
  • Event Grid
From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Lula's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Lula's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Lula's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.