Junior Azure Data Engineer with Databricks (AI&Data)
⚲ Warsaw, Krakow, Wroclaw, Poznan, Gdansk, Bialystok
Do uzgodnienia
Wymagania
- Azure
- PySpark
- SQL
Opis stanowiska
Before you dive into the role
In this role, you will be part of the team driving digital transformation, where you’ll get hands‑on experience with GenAI and LLM in a production environment from day one. You will have the opportunity to learn by doing and contribute to shaping the architecture from the ground up alongside experienced senior specialists.
THE WORK:
- Support in building and maintaining cloud‑based data pipelines in Azure and Databricks.
- Assist in extracting, transforming, and integrating data from multiple data sources into central platforms.
- Apply knowledge of data modeling fundamentals, including 3NF and star/snowflake schemas.
- Use SQL and basic PySpark to perform data manipulation, transformation, and preparation.
- Collaborate closely with senior engineers on the implementation of scalable data solutions.
Flexible: The work location for this role may include a mix of working remotely (most of the time), onsite at a client or in an Accenture office – depending on specific project circumstances. With all our roles, there is some in‑person time for collaboration, learning and building relationships with clients, peers, leaders, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs.
In this role, you will be part of the team driving digital transformation, where you’ll get hands‑on experience with GenAI and LLM in a production environment from day one. You will have the opportunity to learn by doing and contribute to shaping the architecture from the ground up alongside experienced senior specialists.
THE WORK:
- Support in building and maintaining cloud‑based data pipelines in Azure and Databricks.
- Assist in extracting, transforming, and integrating data from multiple data sources into central platforms.
- Apply knowledge of data modeling fundamentals, including 3NF and star/snowflake schemas.
- Use SQL and basic PySpark to perform data manipulation, transformation, and preparation.
- Collaborate closely with senior engineers on the implementation of scalable data solutions.
Flexible: The work location for this role may include a mix of working remotely (most of the time), onsite at a client or in an Accenture office – depending on specific project circumstances. With all our roles, there is some in‑person time for collaboration, learning and building relationships with clients, peers, leaders, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs.
🔍 Dekoder Ogłoszenia
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get hands‑on experience with GenAI and LLM in a production environment from day one
Będziesz miał okazję pracować z nowymi technologiami, ale prawdopodobnie będziesz wykonywać zadania pomocnicze i uczyć się na błędach.
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contribute to shaping the architecture from the ground up alongside experienced senior specialists
Twoje pomysły mogą być brane pod uwagę, ale ostateczne decyzje i odpowiedzialność spoczywają na starszych specjalistach.
🔴
Support in building and maintaining cloud‑based data pipelines
Twoje główne zadanie będzie polegało na wspieraniu starszych inżynierów, a nie na samodzielnym projektowaniu i budowaniu.
🔴
Assist in extracting, transforming, and integrating data
Będziesz wykonywał powtarzalne zadania związane z przetwarzaniem danych, a nie zaawansowane analizy czy modelowanie.
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The work location for this role may include a mix of working remotely (most of the time), onsite at a client or in an Accenture office – depending on specific project circumstances.
Chociaż praca zdalna jest priorytetem, musisz być gotów na częste zmiany miejsca pracy w zależności od potrzeb projektu.