Cloud Data Engineer

BIP; Milano; Ibrido; EUR 45.000 - 60.000; Tempo pieno

Descrizione del lavoro

A leading consulting firm in Italy is seeking a Cloud Data Engineer to join their team. This role involves operating on Big Data or hybrid platforms, implementing both batch and real-time processing pipelines. The ideal candidate will possess experience with cloud-based data platforms and familiarity with tools such as BigQuery and MongoDB. Moreover, they will work autonomously, optimizing machine learning models and enhancing existing ecosystems. The company provides a supportive workplace culture with flexible work options and continued education opportunities.

Servizi

Over 300 courses and personalized development programmes

Health insurance

Wellness programs

Restaurant tickets

100% integration for parental leave

Competenze

• Experience in implementing and managing cloud-based data platforms.
• Knowledge of one or more cloud platforms (e.g., GCP, AWS, Azure).
• Knowledge of modern data concepts (e.g., Big Data, Data Lake, Data Warehouse).

Mansioni

• Operate on Data Platform Big Data or hybrid platforms.
• Implement batch or real-time processing pipelines.
• Work with a selection of technologies chosen per project.

Conoscenze

Experience in implementing and managing cloud‑based data platforms

Knowledge of cloud platforms (e.g., Google GCP, Amazon AWS, Microsoft Azure)

Knowledge of modern data platform concepts

Experience designing data models

Knowledge of data programming/query languages (e.g., SQL, Python)

In‑depth knowledge of database technologies

Formazione

Relevant Bachelor's or Master's degree

Strumenti

BigQuery

MongoDB

Hadoop

Descrizione del lavoro

Join to apply for the Cloud Data Engineer role at BIP.

Responsibilities

• You will operate on Data Platform Big Data or hybrid platforms, on‑premises or cloud, implementing batch or real‑time processing pipelines, data transformation and processing of structured and unstructured data.
• You will be autonomous in acquisition, historization, cleansing, anonymization/crypting/masking, handling null values/outliers, aggregation, structuring of unstructured data, creation of KPI of quality, and preparing data for various users: data scientists, data visualization and business intelligence tools, relational structures (e.g., DWH) and non‑relational (e.g., Graph DB, NoSQL), and external applications in API logic (e.g., REST API).
• You will receive machine learning models from data scientists, optimize them for scalable execution (e.g., applying parallelism), and integrate or schedule them for efficient automated execution.
• You will work with a selection of technologies chosen per project and client, preferring cloud native and globally scalable architectures, selecting the most suitable technologies for complex pipelines, maximizing reuse, quality, efficiency, performance, documentation, and order.
• You will be called upon to provide advisory to select engineering technologies in nascent big data architectures or to improve existing ecosystems.
• You will demonstrate and evolve skills in interacting with clients, vendors, partners, and ensuring the best solution aligned with shared requirements.
• You will contribute to the community with research, scouting, concept development and business development.

Qualifications

• Experience in implementing and managing cloud‑based data platforms.
• Knowledge of one or more cloud platforms (e.g., Google GCP, Amazon AWS, Microsoft Azure) and supporting services for data management, processing and analysis.
• Knowledge of modern data platform concepts (e.g., Big Data, Data Lake, Data Warehouse, Data Virtualization, Data Mesh, Data Governance).
• Experience designing data models and building maintaining data pipelines for data extraction, transformation, and loading.
• Knowledge of one or more data programming/query languages (e.g., SQL, Java, Ruby, Python, R).
• In‑depth knowledge of one or more technologies for managing structured and unstructured databases (e.g., BigQuery, MongoDB, Hadoop, Redis).

Plus (Certifications)

• Google Professional Data Engineer
• Data Engineering on Microsoft Azure
• AWS Certified Big Data – Specialty

Benefits at BIP

• Growth and Education: Over 300 courses, personalised development programmes, and training initiatives.
• Flexibility and Work‑Life Integration: Agile work with remote and on‑site options, supportive workplace culture.
• Health & Benefits: Health insurance, wellness programmes, restaurant tickets, etc.
• Family & Parenting Support: 100% integration for the first 3 months of parental leave, extra days for fathers, support during return.
• Inclusion and Values: Promote uniqueness, guarantee equal opportunities, active policies for protected categories.

Next Steps

After receiving your CV, we will review it carefully. If there is a match, we will contact you to start getting to know each other.

About Us

Founded in 2003, we have built on our consulting experience and added innovation and digitisation. Today, we have over 5,000 professionals in 13 countries, with more than 4,500 projects, and top‑tier expertise in Digital Transformation, Data Science, Cybersecurity, Industry 4.0, IoT, and disruptive technologies.

We help our clients make a difference by creating large‑scale quality through a formula based on Value, People, and Technology.

We believe in excellence, operating with an ethical approach, and fostering an environment where people can grow together.