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Data Engineering Lead

2 tygodni temu

Warszawa, Mazovia, Polska Endava Limited Pełny etat

At Endava, we believe in harnessing technology to drive meaningful change. As a Senior Data Engineer, you will be part of a global team that consults and partners with leading brands from various industries to create dynamic platforms and intelligent digital experiences.

Job Description

Our data team has expertise across engineering, analysis, architecture, modeling, machine learning, artificial intelligence, and data science. This discipline is responsible for transforming raw data into actionable insights, building robust data infrastructures, and enabling data-driven decision-making and innovation through advanced analytics and predictive modeling.

You will work closely with our customers to analyze existing systems and prepare a plan for migrating databases and data processing systems to the cloud.

Responsibilities:

  • Defining and implementing cloud data strategy including security posture, target operating model, DR strategy, and others.
  • Delivering end-to-end data solutions – from early concept and planning, through early PoCs and benefits analysis, all the way to production rollouts.
  • Enhancing client's data landscape by improving data lineage, quality, and reliability.
  • Helping organizations adopt AI/ML based solutions by introducing MLOps culture.
Qualifications

To succeed in this role, you will need:

  • Understanding of entire software development lifecycle, CI & CD as well as Data/MLOps approach.
  • Expert knowledge of SQL and at least one language used in Data Analytics/Science space (Python, R, SAS).
  • Knowledge of at least one programming language (Java, C#, C++).
  • Knowledge of Big Data and Orchestration tools such as Apache Airflow or Spark.
  • Experience working with Relational and NoSQL databases.
  • Working experience with BI Tools (Looker, Power BI, Tableau, Data Studio).
  • Basic understanding of GIT and various automation servers (Jenkins, CircleCI, GitLab CI).
  • Knowledge of messaging systems.
  • Basic knowledge of containers, Docker, and Kubernetes.
  • Cloud certifications are an asset.