Data engineer for AI projects

Devoteam; Warszawa; Ibrido; PLN 180.000 - 280.000; Tempo pieno

Vantaggi offerti da questo lavoro

Hybrid work

Multisport card

Cafeteria points

Career management

Descrizione del lavoro

Devoteam — глобальная компания в области цифровой трансформации, ориентированная на человекоцентричный подход. В Варшаве команда Data & AI Factory работает с клиентами на рынках EMEA, строя надежные конвейеры данных и решения ИИ.

Мы ищем специалиста, который поможет проектировать и внедрять data pipelines, поддерживать observability и превращать данные в бизнес-ценность. Требования: сильный опыт в Python и SQL, знание dbt, Airflow/Dagster, GCP и Agile/ITIL.

Competenze

• BA/BS в CS или Math или эквивалентный опыт, соответствующий уровень знаний.
• Сильные навыки Python, SQL и DBT.
• Опыт проектирования и поддержки data pipelines и ETL/ELT.
• Опыт работы с продуктами GCP и сервисами данных.
• Знание Airflow/Dagster, Fivetran, Airbyte; Hadoop/Spark/Hive приветствуются.
• Свободное владение английским языком; знание Java/Scala приветствуется.

Mansioni

• Работа в составе Data & AI Factory, поддержка data-ops и проектов AI.
• Проектирование, сборка и поддержка конвейеров данных и трансформаций.
• Развитие observability решений для улучшения качества данных.
• Преобразование данных в бизнес-аналитику и решения для клиента.
• Наставничество младших сотрудников и пример лидерства.

Conoscenze

Python

Go

SQL

Power BI

ETL/ELT

GCP data products

Formazione

BA/BS в Informatике или математике

Strumenti

DBT

Airflow

Dagster

Fivetran

Airbyte

Hadoop

Spark

Hive

Vertex AI

Dataiku

Descrizione del lavoro

Описание

At Devoteam, we believe that technology with strong human values can actively drive change for the better. Discover how Tech for People unlocks the future, creating a positive impact on the people and the world around us. We are a global leading player in Digital Transformation for leading organisations across EMEA, with a revenue of €1B. We believe in transforming technology to create value for our clients, partners and employees in a world where technology is developed for people.

Задачи

work as part of the Data & AI Factory team, working with the customer to support their data-ops and AI projects be involved in designing, building, maintaining and troubleshooting data pipelines, models and transformations help to build, maintain and troubleshoot data observability solutions to improve data quality help turn data into valuable business insights, preparing custom solutions optimised for each client act as a trusted advisor for junior team members lead by example

Требования

BA/BS in Computer Science or Math, or related technical field / equivalent experience Experience with Python Knowledge of GO Good DBT knowledge Proficient in SQL Good knowledge of Power BI Experience with programming in Agile methodology as well as ITIL best practices Knowledge of database and data analysis technologies, including relational and NoSQL databases, data warehouse design, and ETL/ELT pipelines. Relevant experience with GCP data products and services Some experience with job orchestration tools (e.g. Airflow, Dagster) Some experience with data ingestion tools (e.g. Fivetran, Airbyte ) Some experience in Hadoop and using platforms such as Apache Spark, Pig, or Hive Fluency in English Будет плюсом: Some experience with Vertex AI and Dataiku (certification a big asset)

Условия

Employment contract Hybrid working model Up to 26 days of vacation per year MultiSport card (70 % of costs covered by Devoteam) Cafeteria (200 points/month) Contribution for glasses Career Management, training and certifications in the best breed of technologies - focused on technical skills, Project Management methodology etc., including Udemy for business accounts. Private medical healthcare including dental package Referral program Foreign business trips Above standard working equipment (possibility of purchasing equipment) Coffee, tea, snacks in the office Company events and team buildings Friendly and open culture Pet friendly office Transparent framework for career growth, reinforced by annual performance evaluations Trust and autonomy, with no micro-management Learning from senior colleagues and opportunities to collaborate with professionals from various industries Opportunities to attend conferences to keep skills up-to-date Working on a variety of international projects for a broader range of experience Adoption and utilization of evolving IT technologies Usage of AI tools and access to elaborate, tailored AI training