ENGIE is a leading global energy company that builds its businesses around a model based on responsible growth to take on energy transition challenges. We provide individuals, cities and businesses innovative solutions based on our expertise in 4 key sectors: independent power production, natural gas, renewable energy and energy efficiency services to a low-carbon economy: access to sustainable energy, climate-change mitigation and adaptation and the rational use of resources.
Purpose/Mission
- This position will be part of the Global Data team that is based across Germany, Uganda, Kenya, and Nigeria.
- You will report to the Head of Data, and work closely with data scientists, devops team, and software engineers.
- This is an incredible opportunity for a talented individual to join a high-performing team that is passionate about pioneering expanded financial services to off-grid customers at the base of the pyramid.
- Key responsibilities will include building, maintaining, and ensuring scalability of data pipelines between MySQL databases which service our in-house applications, IoT data delivered from devices, PBX, our in-house ticketing system, and our data lake used for analytics across the company.
- You would also be responsible for building and optimizing pipelines to deliver data in real time to our field team mobile application to allow data-informed decisions to be made in the field, as well as working with members of the data team to ensure high code quality and database design.
- Your work will make a meaningful impact by enabling EEA to continuously innovate on how we support our customers in their solar kit experience and repayment journey.
Responsibilities
- Work with data and software teams to design, build, and support critical data pipelines using airflow for modeling, ETL, and analytics.
- Optimize data storage between Redshift, s3, and other storage solutions to support data analytics, modeling, archiving and data integrity.
- Develop logging and visualization KPI Dashboards with Grafana or another tool to score the efficiency of business processes.
- Containerize models with Docker and Kubernetes to serve real-time financial information to field teams.
- Work with software engineers and devops team to optimize performance of in-house applications which communicate data through APIs and other means.
- Maintain and Develop Tools for unit testing, streamlined ETL, and other processes for the Data Team.
- Mentor data scientists and analysts on best coding practices through code reviews and discussions.
Knowledge and skills
Experience:
- 3+ years of industry experience
- Experience building infrastructure to support streaming or offline data
- Extensive programming experience in Python/Scala/Java
- Experience with SQL in addition to one or more of Spark/Hadoop/Hive/HDFS
- Experience with implementing unit and integration testing
- Ability to gather requirements and communicate with stakeholders across data, software, and platform teams
- Ability to develop a strategic vision for data pipelining and infrastructure
- AWS Certification is a plus
- Strong communication across data, devops, and software team members
- Sense of adventure and willingness to dive in, think big, and execute with a team
Qualifications:
- Degree in computer science or related field
Language(s):
- English
- French, Portuguese, or German is a plus
Technology:
- Linux-based systems
- Knowledge of Amazon Web Services (AWS) and its services, such as, but not limited to, Cloudwatch, RDS, Redshift, Lambda, EMR, S3, SQS, EC2
- Python, jupyter notebooks
- Airflow (or other workflow management systems, such as Luigi)
- Docker, Kubernetes or other container like tools
- Streaming tools such as Kafka, Kinesis
- Knowledge of Hetzner is a plus
Method of Application
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