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Data Engineer

Senior / Staff Data Engineer (BI) – CEG Team

Agoda

Milanlead

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Описание вакансии

About Agoda
At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.

Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.

No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.

Get To Know Our Team:
The Data department oversees all of Agoda’s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.

The Opportunity:
As a
Senior/Staff Data Engineer in CEG (Customer Experience Group)
, you will help design, build, and maintain the data and software foundations that power how CEG Business users serves customers and agents across all contact channels. You will work closely with Product, Operations, Analytics, Operations Efficiency, WFM, DevOps and engineering teams to deliver reliable data pipelines, scalable models, internal tools, and clear insights that improve customer experience and operational efficiency.

You are comfortable switching between
engineering work
(pipelines, data models, internal services, tooling, optimization) and
analytics work
(business questions, dashboards, deep‑dive analysis). You can talk to both engineers and business stakeholders in simple, clear language. At the
Staff level
, you will also shape CEG’s data and tooling strategy, influence cross‑team architecture, and raise the overall engineering and data bar for the team.

What You’ll Do:
Data Engineering

  • Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and serve data from CEG systems (case management, telephony, chat, bots, QA tools, WFM, CRM) and third‑party tools and logs.
  • Develop and optimize data models (e.g., warehouse tables, marts, views) that power CEG reporting, monitoring, forecasting, QA, and experimentation.
  • Ensure data quality, reliability, and observability:
  • Implement validation checks, anomaly detection, and monitoring for key CEG datasets and metrics.
  • Work with stakeholders to define and enforce data definitions, SLAs, and ownership for critical tables and metrics.
  • Improve performance and cost efficiency of data jobs and queries (e.g., partitioning, indexing, query tuning, storage format optimization) for high‑volume CEG data (calls, chats, emails, cases, events).
  • Collaborate with data platform and engineering teams to standardize tooling and best practices (e.g., version control, CI/CD for data and services, code review, documentation, runbooks).

Data Tools & Product Development

  • Design and build data tools and internal products for CEG (e.g., self‑service analytics, case monitoring dashboards, alerting systems, investigator tools, QA/review tools, agent performance views).
  • Use languages such as Python, Java, Golang, or JavaScript/TypeScript to implement APIs, data services, and lightweight UIs that expose data in a usable way to agents, managers, and operations teams.
  • Work closely with CEG product managers and operations to translate operational pain points into concrete data tools, from problem framing to delivery and iteration.
  • Apply solid software engineering practices—testing, code reviews, CI/CD, observability—to data products so they are reliable, maintainable, and easy to extend.
  • At Staff level, define and drive the roadmap for key CEG data tools and platforms, ensuring reuse across regions, lines of business, and channels.

Data Analytics & Business Impact

  • Partner with CEG product and business teams to translate questions into data problems and design clear analytic approaches.
  • Build and maintain dashboards and reports (e.g., contact volumes, handling time, quality, customer outcomes, agent performance, spot alerts) that provide reliable metrics and self‑service access to data.
  • Perform deep‑dive analysis to understand trends in contact patterns, customer issues, agent performance, and operational efficiency; identify root causes and propose practical, data‑driven recommendations.
  • Define and maintain metrics and KPIs (e.g., CSAT, NPS, SLA, AHT, FCR, quality scores), ensuring consistent definitions across CEG teams and tools.
  • Communicate findings in simple, business‑friendly language, including clear implications and recommended next steps.

Stakeholder & Team Collaboration

  • Act as a trusted data partner for CEG stakeholders (operations leaders, product managers, WFM, QA, training, policy, and regional leadership).
  • Work with other data engineers, analysts, and scientists to align on data standards, reusable components, and shared datasets for CEG.
  • Mentor junior and mid‑level team members on data engineering, analytics, and software engineering best practices.
  • Contribute to continuous improvement of team workflows (code reviews, testing, documentation, runbooks, knowledge sharing, incident reviews).
  • At Staff level, influence cross‑team architecture and ways of working, making sure CEG’s data ecosystem scales with business growth.

Required Qualifications:

  • 8+ years working as a Data Engineer, Analytics Engineer, or Data Analyst in a data‑driven environment (Staff level typically 10+ or equivalent scope/impact).
  • Strong SQL skills (complex joins, window functions, aggregation, query optimization).
  • Experience with at least one major data warehouse / big data technology (e.g., BigQuery, Snowflake, Redshift, Hive, Spark, Vertica, StarRocks, or similar).
  • Solid experience with ETL/ELT tools or orchestration frameworks (e.g., Airflow, dbt, internal frameworks).
  • Proficiency in at least one programming language for data and services (e.g., Python, Java, Golang, Kotlin, or JavaScript/TypeScript).
  • Experience building production‑grade data pipelines and/or data services with attention to quality, monitoring, and maintainability.
  • Experience with BI / visualization tools (e.g., Tableau, Power BI, Superset, Metabase, Looker).
  • Strong analytical thinking: comfortable framing business questions, exploring data, and turning results into clear insights.
  • Ability to communicate complex topics in simple, concise language to non‑technical stakeholders.

Preferred Qualifications:

  • Experience with event‑driven data (logs, clickstream, customer journey, contact flows, tracking data).
  • Knowledge of data modeling techniques (e.g., dimensional modeling, Kimball, data vault, star/snowflake schema).
  • Experience with A/B testing, experimentation platforms, or causal analysis.
  • Familiarity with ML pipelines or working with data science teams (e.g., routing models, QA scoring, forecasting, recommendations).
  • Experience in online consumer products, travel, e‑commerce, or marketplaces.
  • Hands‑on frontend or backend development experience (e.g., building internal tools in React/Next.js, Node.js, or similar frameworks) used by operations or support teams.
  • Prior experience in a Staff or Tech‑Lead role, driving technical direction and mentoring multiple engineers/analysts.

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Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.

Discover More About Working At Agoda

Equal Opportunity Employer
At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.

We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.

Disclaimer
We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

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Data Engineer

Senior Programmer/Architect (C++ / C#)

EFI

Comun Nuovofulltimesenior

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Описание вакансии

We are looking for a Senior Programmer/Architect (C++ / C#) with deep architectural experience in software development for industrial machines and automation systems. The candidate will define the code design guidelines for machine-level software and act as a technical mentor to the team, while remaining hands-on.

This role directly reports to the R&D product leader in their region with a dotted line to the Sr. Director of Software Development based in Spain.

Key Responsibilities

  • Design, develop, and optimize the software architecture for the control, diagnostics, and supervision of complex industrial machines, ensuring efficient coexistence between C++ (real-time/low-level management, drivers, high-performance data processing) and C# (HMI, application logic, connectivity).
  • Lead the technology choices of the industrial software development team, define coding standards together with the team to ensure maximum machine stability and safety, and conduct rigorous code reviews.
  • Explore new technologies and industrial protocols, creating Proofs of Concept (PoCs) to improve machine performance, efficiency, and connectivity.
  • Work closely with the electronic design, automation (PLC), and mechanical teams to translate machine operating specifications into robust software architectures.
  • Act as a reference point for less experienced programmers, helping them solve complex software/hardware interface issues.

Requirements

  • Proven experience in developing application or control software for industrial machines, plants, or complex embedded systems.
  • Deep knowledge of software-hardware interaction dynamics (input/output management, machine cycles, alarm management, and machine state management).
  • Excellent knowledge of modern C++, concurrent/multithreaded programming, memory management, and performance optimization for critical low-level tasks.
  • Solid experience with the .NET ecosystem (Framework + Core) for developing advanced human-machine interfaces (HMI), supervision services, and coordination logic.
  • Familiarity with the integration of industrial protocols and fieldbuses (e.g., OPC UA, EtherCAT, Modbus, CANopen, TCP/IP).
  • Good experience integrating low-level native code with high-level managed code (C++/CLI, P/Invoke).
  • Use of profiling and debugging tools in industrial environments, unit testing frameworks, and version control systems (Git).
  • Ability to guide and influence the team’s decisions through technical credibility and expertise.
  • Strong aptitude for understanding the impact of code on the physical behavior of the machine and on operational safety.
  • Ability to analyze complex bugs or abnormal machine behaviors in a structured way, focusing on the long-term stability of the system.

What can we offer?

  • Direct Product Impact: The opportunity to see your code move, control, and optimize real, state-of-the-art industrial machines.
  • Focus & Flow: Protected time for research, development, and architectural design, minimizing corporate bureaucracy.
  • Exposure: The candidate will interact with counterparts across the EFI group to develop international projects.

Это сохранённая копия объявления, опубликованного в другом месте. Вакансии снимают без предупреждения — перед откликом проверьте сайт работодателя. mentors.coach не является нанимающей стороной.

Data Engineer

Data Engineer

Moncler

Milanfulltimesenior

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Описание вакансии

Overview
We are looking for an engaged and detail-oriented
Data Engineer
to join the Data Platform & AI Team at our HQ in Milan.

Your Impact
The Data Engineer will build and optimize scalable data pipelines and models, delivering reliable, analytics-ready data and enabling data-driven decision-making across the organization.

In Particular, The Resource Will Be Responsible For

  • Design, develop, and maintain scalable batch and streaming data pipelines for data ingestion, transformation, and delivery.
  • Collaborate with BI teams to provide high-performing data models, data marts, and semantic layers that support business needs.
  • Implement data quality, monitoring, and observability frameworks to ensure data reliability and proactively identify issues.
  • Manage data incidents through root cause analysis, resolution, and continuous improvement to prevent recurrence.
  • Translate business and analytical requirements into scalable, maintainable, and efficient data solutions.

Qualification
Main Qualifications
Who We Are Looking For:

  • Minimum 5 years of professional experience in data engineering or a closely related role.
  • Strong SQL skills.
  • Experience building transformation layers from raw or semi-structured data into clean, analytics-ready datasets.
  • Experience with dbt or similar analytics engineering and transformation tools.
  • Strong understanding of query and workload optimization, including performance tuning (partitioning, pruning, query optimization) and cost efficiency, with a FinOps-oriented mindset for cloud resource usage.
  • Hands-on experience with at least one major cloud provider (GCP, Azure, or AWS).

We Would Appreciate a Person Who Is

  • Able to communicate clearly with both technical and non-technical people
  • Curious and proactive, with a strong problem-solving mindset

Compensation & Benefits

  • Application of CCNL Tessile
  • Compensation package range: from 40.000 € to 50.000 € gross
  • Competitive Corporate Welfare Services

Moncler Group is an equal opportunity employer, which means we do not discriminate on the basis of ethnic origin, skin color, religion, civil status, age, nationality, ancestry, any form of disability or neurodivergence, medical condition, gender, gender identity or expression, sexual orientation. We celebrate diversity

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Data Engineer

AI & Data Science Engineer

DXC Technology

Milanfulltime

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Описание вакансии

Job Description
DXC Technology is looking for a
Data Scientist to support AI and Generative AI projects
, contributing to practical solutions and improving business processes through ML models, NLP and intelligent automation, within the Data & AI team based in Milan.

Key Responsibilities

  • Contribute to the design and implementation of AI solutions, including machine learning models, NLP, and computer vision applications
  • Collaborate with senior team members to understand client requirements and translate them into practical AI solutions
  • Support the direct relationship with clients/stakeholders for requirements gathering and solution validation
  • Support pre-sales activities, including preparing technical materials and contributing to client presentations
  • Stay up to date on AI trends and emerging technologies, applying knowledge to support solution development
  • Contribute to maintaining best practices and methodologies within the AI & Data Science team
  • Take part in AI solution projects, gaining hands-on experience in real client environments and progressively growing in autonomy.

Requirements

  • Proven experience in Gen AI projects.
  • Ability to translate business requirements into practical AI solutions, including design and implementation.
  • Deep expertise in core Generative AI technologies, including Retrieval-Augmented Generation (RAG), Prompt Engineering, Observability, and AI Guardrails.
  • Extensive experience with enterprise-grade GenAI development frameworks and platforms, including LangChain, LangGraph, LiteLLM, and Langfuse.
  • Proven experience in addressing AI governance, GDPR, and EU AI Act compliance requirements throughout the AI solution lifecycle.
  • Good knowledge of machine learning frameworks and libraries (Python, TensorFlow, PyTorch, Scikit-learn, etc.)
  • Strong proficiency in AI-powered software development and code generation tools.
  • Extensive experience with enterprise software delivery practices and platforms, including source code management, CI/CD pipelines, and automated deployment frameworks.
  • Strong analytical and problem-solving skills
  • Good communication skills and strong ability to work in a collaborative team.
  • Growing autonomy in managing assigned tasks and deliverables.
  • Ability to organize project activities by identifying priorities and ensuring deadlines are met

Nice to Have

  • Previous involvement in presales or solution support tasks

Location: Milan, with smart working possibility

Why Join Us
Offer Package
The position offers a gross annual base salary starting from €48.000

Compensation is determined in line with the applicable collective labor agreement (CBA: Contratto Collettivo Nazionale di Lavoro per l'industria metalmeccanica e della installazione di impianti) and based on objective and gender-neutral criteria, including responsibility, experience and skills.

  • Health Insurance
  • Permanent disability by accident coverage
  • Life and permanent disability by accident coverage
  • Meal vouchers
  • Supplemental Pension Plan
  • Smart Working Agreement
  • Employee Discounts Program

Continuous Learning — Access learning platforms and take part in skill development programs designed for you.

Refer & Earn — Help us find great talent through the Employee Referral Program and get rewarded for your contribution.

Career Development — DXC promotes professional growth and internal mobility by making every open position accessible to all employees. Through the Performance Development program, the company supports individual aspirations to achieve shared goals together.

Our Way of Working — At DXC, we believe that strong connections and collaboration drive success. Our hybrid work model combines flexibility with in-person teamwork, empowering you to perform at your best while maintaining balance and wellbeing.

At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.

Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available
here
.

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Data Engineer

Stage - Data Analyst

Saipem

Milanvolunteer

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Описание вакансии

Join Saipem and engineer a sustainable future.
We are a global leader in engineering and construction for the energy and infrastructure sectors, delivering complex onshore and offshore projects worldwide. Driven by technological innovation as “One Company”, our
30,000 people
from over
130 nationalities
in more than 50 countries work every day to enable the energy transition toward Net Zero. At Saipem, we embrace diversity as a driver of innovation and inclusion, while prioritizing people’s safety and environmental sustainability, even in the most challenging conditions.

As
Data Analyst
, you will join the
Systems and Data Engineering Management (SYDEM)
unit. In this role, you will be responsible for maintaining, enhancing, cleaning data across both operational and analytical environments. Working closely with the functional data integration team, you will contribute to designing and developing data collection systems, ensuring the availability of high-quality datasets that enable efficient engineering workflows and support informed decision‑making across the organization.

You will play a key role in ensuring data reliability, consistency, and traceability throughout the full lifecycle of engineering processes, contributing to the advancement of digital capabilities within the business.

How can you support us?

  • Design, develop, and maintain data pipelines to ingest, transform, structure, and deliver datasets from multiple internal and external sources.
  • Enhance data quality, reliability, and governance, ensuring compliance with corporate standards, metadata requirements, and lifecycle management rules.
  • Collaborate closely with data scientists, analysts, and engineering stakeholders to understand data needs, translate requirements into technical solutions, and support advanced analytics and reporting activities.
  • Implement data cleaning, validation, and enrichment processes to deliver consistent, high‑quality datasets for engineering.
  • Contribute to documentation, standards, and best practices, promoting continuous improvement in data engineering methodologies within SYDEM.

Education:
Master's or bachelor's degree in Statistics, Engineering, Information Technology or Economics.

Languages:
Italian, English

Technical Knowledge

  • Capability to translate data into insights using analytical and statistical techniques.
  • Ability to design interactive dashboards and visual reports in Power BI
  • Experience creating analytical views based on datasets and data models.
  • Ability to work with both structured and unstructured datasets, applying advanced analytic logic.
  • Solid experience in data wrangling, transformation, aggregation, and preparation for analytics.

What We Can Offer To You

  • Internship six months
  • Gross monthly allowance of participation: €900
  • Corporate Benefits We offer a comprehensive benefits package, including company gym and company canteen
  • Hybrid working model: Smart Working options and flexible hours to help you achieve a better work-life balance.
  • Location: Milano (Santa Giulia)

Regulatory Compliance
The Decision Is Made In Compliance With

  • the principle of equal pay for the same work or work of equal value;
  • the pay transparency requirements set out in EU Directive 2023/970 and the relevant national implementing legislation.

Additional Information
We support your development!
Do you feel you might not fit this role perfectly? If you think you can contribute to our business development in the future, don’t hesitate to apply anyway through our spontaneous application form!

PRIVACY POLICY

All interested candidates (L. 903/03) are invited to consult the privacy policy (art 13, 14, D.Lgs 196/03 and art 13 GDPR 679/16).

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Senior / Staff Data Engineer (BI) – CEG TeamAgoda · Italy

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