Data Engineer
- Do you love to work on various projects and implement end-to-end data solutions?
- Are you ready to expand your skillset in different tools, methodologies, and across various industries?
- Do you have an innate passion for all the technical aspects of a data project while having an entrepreneurial sense to participate in building a new practice within a consultancy company?
As a Data Engineer, you will play a key role in tackling complex technological projects for our most challenging assignments. You will play a key role in preparing the (big) data infrastructure used by Data Scientists in the delivery of our client projects.
What will you do day-to-day?
- Conceive and build maintainable (cloud) data architectures (infrastructure, ETL, infra-as-code…)
- Integrate data sources by developing data pipelines
- Create large data warehouses and datamarts fit for further reporting or advanced analytics
- Monitor the quality and stability of data solutions
- Optimize data ecosystems' performance & costs
- Support Agilytic Data Scientists & Data Analysts in deploying data solutions for the clients
- Stay up to date with the latest developments in data technology
- Coach and actively share your knowledge with your colleagues
Requirements
We are looking for strong candidates with the following academic and professional experiences. Don’t worry if you don’t tick all the boxes, and let’s talk if your motivation is there.
Your background
- A Master in Computer Science, Engineering, Mathematics, Statistics or another quantitative discipline
- Ideally 2+ year demonstrated experience with big data platforms (Hadoop, Cloudera, EMR, Databricks...), cloud environments (Azure, AWS, or GCP) or end-to-end BI projects.
- But being eager to learn new topics in the Data Engineering field is what matters most !
Your skills
- Technical knowledge in one or more of the following competencies
- Data pipeline management/ETL processing
- Database management (SQL and noSQL databases)
- Data modeling basics (3NF, Star Schema…)
- Large file storage (HDFS, Data Lake, S3, Blob storage…)
- Cloud platforms management like AWS, Google Cloud or Azure, in a data context
- Docker
- DevOps best practices integration (CI/CD, Infra-as-Code, unit testing…) is a plus
- Workflow management such as Airflow or Oozie is a plus
- Stream processing such as Kafka, Kinesis, Elasticsearch is a plus
- Programming languages requirements
- Working experience with Python, SQL (Java, Scala are also considered)
- Knowledge of Spark with Scala or Pyspark is a plus
- Other requirements
- Fluency in English
- Fluency in either in French OR Dutch
- Eligibility to work in Belgium and the European Union (please be aware that we cannot provide relocation support)
Your Growth Path
- As a consultancy company, people are at the core of what we do. We will therefore guide you and give you the support you need to develop and grow. However, we equally believe that it is you who takes ownership of your growth. That is why you will be the main actor of your Individual Growth Plan.
- As an agile and problem-solving minded company, you’ll be facing many opportunities to deepen your technical expertise in one domain or broaden your perspective in the data world.
What we expect from you
- Problem-solving mindset and pragmatic approach
- Innate care about work quality
- Curiosity about new techniques and tools, eagerness to always keep learning
- Desire to be among the first employees of a growing Data Engineering structure, to help us shape our organization in the future
Some signs this may not be the right fit
- If you don't like to interact with customers or do presentations from time to time: all our data engineers are client-facing
- If you’re not comfortable working on premise (on average 2-3 days a week), being at the client premises or from our offices in Brussels.
- If you aren’t ready to go the extra mile to deliver quality work and help us build a great team together
Benefits
Working at Agilytic
We aim at creating a work environment that allows you to do great work, grow your skillset and, most importantly, be happy while doing it.
We believe that data is a means to an end and not an end. We don’t use cutting-edge techniques when not suited to the problem we need to solve. We adapt to what the client truly needs, even if it might look less appealing from a technical perspective.
For instance, we won't train a neural network predicting marketing performance based on 1.000 variables if a simple dashboard showing marketing efficiency across a few dimensions answers the question of our customer.
All our missions are about data, and so far, approximately 50% of them haven’t required any machine learning.
Salary and Benefits
- Competitive Remuneration Package: We offer a competitive remuneration package, complete with a mobility budget, phone subscription, laptop, meal vouchers, etc.
- There is also a variable remuneration component based on client satisfaction/longevity and your contribution to our business development efforts.
- Training Roadmap: We will draft together a training roadmap, taking into consideration our internal competencies as well as your interests.
- Supportive Structure and Transparency: What we don’t have in scale (yet), we’ll make it up with flexibility, support, and transparency. We will be there for you every step of the way.
- Modern Tools: Tools are a means to an end. We want them to help you do your best work, not become a bottleneck. That’s why you can expect up-to-date hardware and software tools so that you (hopefully) never have to swear at your computer.
- Oh, and a little bit of fun too: we take our work very seriously, but we’re not afraid to laugh at ourselves. Life is too short.
Ready to apply? Send in your application today! We look forward to hearing from you.