Data Engineer

BVGroup; United Kingdom; Remote; GBP 50,000 - 70,000; Full time

Job summary

BVGroup, une entreprise innovante leader dans le secteur des paris sportifs, recherche un Data Engineer pour rejoindre son équipe de Business Intelligence. Le candidat idéal travaillera sur des projets variés incluant la construction d'un Data Warehouse, améliorera la pile technologique et collaborera étroitement avec les Data Scientists et Analysts. Des compétences en Python, SQL, et des plateformes cloud sont essentielles. Des avantages intéressants comme une couverture santé, des formations en ligne et des événements d'équipe sont inclus.

Benefits

Cafétéria net 55.000 HUF par mois (après période d'essai)

Abonnement illimité à plus de 20 000 cours Udemy

Assurance santé AXA avec option pour les membres de la famille

Participation à des meetups et événements tout au long de l'année.

Qualifications

• Expérience avec Python et bases de données relationnelles.
• Compétences en CI/CD et gestion de version avec Git.
• Familiarité avec les plateformes cloud, idéalement GCP.

Responsibilities

• Construire et maintenir notre Data Warehouse incluant des pipelines ETL.
• Travailler avec les équipes de Data Science et Data Analysts.
• Améliorer la stack de Data Science et gérer les implications d'ingénierie des projets.

Skills

Python

GCP

Git

CI/CD pipelines

SQL

Tools

NoSQL

MongoDB

Kafka

Airflow

Terraform

Job description

Data Engineer | EU/UK - Remote

We are BVGroup a dynamic team that's shaping the future of online sport betting and gaming. We're dedicated to fostering a culture of innovation and excellence and as a leading global brand, we're committed to delivering top tier products and services to our customers.

We are looking for a Data Engineer to become part of our growing Business Intelligence team. You will work closely with our Data Analysts, Data Scientists who sit within the Business Intelligence team, along with various software engineers in our technology teams.

Expected responsibilities:

• Build and maintain our Data Warehouse including ETL pipelines, monitoring of all inputs into the Data Warehouse for unexpected behaviour.
• Data modelling and data governance, working closely with our Data Analysts and Data Science teams to understand how they are utilising the Data Warehouse.
• Building and maintaining new production services that integrate into the rest of the company’s technology stack and provide critical business services.
• Improving and upgrading the Data Science stack, including resilience and other technical debt.
• Collaborate with data scientists and data analysts on their projects, particularly on the design of tools and data models, and other technical aspects.
• Contribute to business projects that have engineering implications, particularly on the design of tools and data models, and ensuring that engineering requirements of a project are properly defined.

Person profile:

Essential

• Experience with Python
• Experience with a cloud platform, we use GCP but experience with others is fine
• Experience with Git and CI/CD pipelines (e.g. GitLab)
• Experience with relational database structure and expert with SQL

Nice to Have

• Experience with NoSQL, we use MongoDB and Firestore.
• Experience with message queue systems (e.g. Kafka, Pub/Sub, RabbitMQ)
• Experience with scheduling tools like Airflow, Luigi or similar.
• Experience configuring cloud infrastructure using Terraform or similar.
• Ideally knowledge of sports betting and familiarity with gaming data.

Benefits:

• Cafeteria net 55.000 HUF month (after probation period) via SZEP card.
• Unlimited subscription to over 20,000 Udemy courses.
• AXA Healthcare cover with the option to add family members.
• We also have a host of meetups and events throughout the year.

How we hire:

Our interviews are a two-way process, and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational, and we want to get the best from you, so come at us with questions and be curious.

Our process is as follows:

• 1st round interview, will contain technical test
• Take home exercise and 2nd round interview, based on the take home exercise
• Offer

In the event that we receive sufficient applications for the role, this vacancy may be subject to early closure. Therefore, if you are interested, please submit your application as early as possible.

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