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Senior Big Data Engineer

2 tygodni temu

Łódź, Łódź Voivodeship, Polska Endava Limited Pełny etat
Driving Business Transformation

We harness the power of technology to drive meaningful change. Our data team has extensive expertise across engineering, analysis, architecture, modeling, machine learning, artificial intelligence, and data science. We are 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.

Our clients benefit from our expertise in defining and implementing cloud data strategy, delivering end-to-end data solutions, and enhancing their data landscapes. We help organizations adopt AI/ML based solutions by introducing MLOps culture and present analytical findings on cutting-edge BI Dashboards.

Career Opportunities

You will have the opportunity to work with leading brands from various industries, contributing to the creation of dynamic platforms and intelligent digital experiences. You will be part of a global team that drives innovation and transformation.

We offer a range of benefits including career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership, complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences, hybrid work and flexible working hours, employee assistance programme, global internal wellbeing programme, access to wellbeing apps, global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.

Key Responsibilities

You will define and implement cloud data strategy, deliver end-to-end data solutions, enhance client's data landscapes, help organizations adopt AI/ML based solutions, and be part of technical advisory and cloud infrastructure team.

You will have the opportunity to work on secure foundational Data Lakes and Data Meshes implementations, automated provisioning of infrastructure and pipelines, cloud-ready ETL/ELT architectures, and presenting analytical findings on cutting-edge BI Dashboards.

Requirements

  • 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 such as Associate Cloud Engineer will be an asset.