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MaC Venture Capital
MaC Venture Capital
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Senior Data Engineer

Stears

Stears

Data Science
Posted on Wednesday, May 22, 2024

The Company

Stears is a VC-backed African data and intelligence startup building the Bloomberg of Africa. For global organizations investing in African markets, Stears is the data and analytics provider that enables quick, accurate decisions for financial and operational opportunities. Stears users get access to raw data from various sources, trend data for a wide range of data sets, and constantly updated analysis by researchers. Stears goes beyond just data to provide insights and context based on knowledge of local markets and delivers it all in an easy-to-use interface usable by anyone, not just researchers.

We are looking for a senior data engineer who loves to learn and be challenged, and enjoys working in a high performing team where she is supported, given responsibility, and held to high standards. We’ve seen first-hand the impact of diversity of background amongst engineers, gender diversity in particular. Hence we are strongly encouraging qualified women to apply for this role!

The Role

Why it’s important: Companies and Investors all over the world are seeking to understand the African landscape in relation to their world and investment opportunities – this is where Stears comes in. To meet our growth and expansion goals, we’ve built and deployed solutions at scale with multiple approaches across various tools and cloud providers. You will take ownership for how we ship our data engineering strategy, data pipeline automation and storage practices

Responsibilities: As a Senior Data Engineer (SDE) at Stears, you are responsible for:

  • Developing and maintaining scalable data pipelines to extract, clean, transform, and load data from various sources for our various intelligence initiatives
  • Collaborating with data analysts, platform and business teams to understand data requirements and deliver relevant datasets and the scheduled cadence
  • Implementing processes and systems to monitor data quality and ensure data accuracy and availability for stakeholders
  • Contributing your hands on developer expertise to the python data pipeline platform
  • Designing and optimizing data storage solutions e.g. data warehouses
  • Support data visualization teams to improve the e2e process of publishing visual insights onto our platform.
  • Automating and improving data processes for scalability and efficiency
  • Providing general data platform observability to our data stack via dashboards, notifications and alerting.
  • Ensuring data security policies through access controls and compliance with regulations
  • Documenting data pipelines, processes, and best practices for knowledge sharing

Who you will work with: This role is part of the Stears team. As the Senior Data Engineer, you will also be a member of the Platform team (product, design & engineering) and report to the Head Of Engineering. In addition to working with the core team of product manager, engineers, and designers, you will work with many internal stakeholders, including Head of Product, Customer Success, Marketing, and Analytics.

We are looking for someone with:

  • 4 - 6 years of experience in the field
  • Proficiency in programming languages like Python, Shell, Java, and SQL
  • Working knowledge of AI/ML/Language models
  • Knowledge of data modeling, database management, and ETL processes
  • Experience with big data technologies like BigQuery, RDS, Snowflake, Spark, Flink
  • Familiarity with data warehousing and cloud platforms (GCP, AWS)
  • Strong analytical and problem-solving skills
  • Excellent communication skills to explain technical concepts to business stakeholders
  • Bachelor's in Computer Science, Engineering, or a related field

Perks

Meaningful perks matter to us. They make employees better and contribute to making Stears a great place to work. If you join us, you can be assured that you’ll enjoy a wide range of generous perks, rewards and office benefits including:

  • Flexible working we are currently hybrid (you chose what days you are in the office)
  • Help lay the platform foundations of our African expansion. We are currently fleshing out our expansion strategy and would love you to be a part of this growth while doing impactful work
  • Be part of our new product offerings
  • Unlimited access to Stears Intelligence Solutions
  • The Stears Experience - These are the top reasons economists report having the best experience of their careers at Stears:
    • Deepen their analytical & critical thinking skills which apply beyond a specific domain
    • Gain a high level of autonomy and responsibility by taking on a senior role in our high trust startup environment and relatively flat organizational hierarchy
    • Do something meaningful by being part of a team making African data more widely available
  • Access to an expert Intelligence & Analytics team - Stears Intelligence team includes some of the brightest knowledge experts in Nigeria covering a wide range of sectors, all with a passion for delivering the highest quality of intelligence and analytics on the African continent.
  • Competitive salaries at junior, intermediate and senior levels
  • Comprehensive Health Insurance coverage
  • Paid time off - 25 days excluding public holidays and sick days (Prorated)
  • Compassionate Leave
  • Parental Leave
  • Unlimited Sick Leave
  • Special emphasis on learning and development
  • Regular social activities, including annual off-site team bonding
  • A well stocked fridge, lots of snacks and bean bags
  • Stears branded merchandise and swag

      Diversity

      Stears is proud to be an equal opportunity employer and will consider all qualified applicants regardless of color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender identity or expression, veteran status, actual or presumed belonging to an ethnic group, or any other legally protected status. If you have a disability or special need that requires accommodation, please let us know.