<p>Siamo <strong>SoftJam Spa,</strong> società del gruppo Lutech e Partner Microsoft. Siamo un’azienda specializzata in soluzioni e progetti ad alto contenuto tecnologico, su clienti Enterprise, in ambito Cloud e Artificial Intelligence.</p><p>Stiamo cercando risorse che possano ricoprire il ruolo strategico di <strong>Data Engineer</strong> per il team R&D su una delle tre sedi di SoftJam<strong> (Roma/Genova/Milano).</strong></p><p>Modalità di lavoro: ibrida.</p><h3>Descrizione del ruolo</h3><ul><li><em>Competenze Architetturali e specializzazione tecnologica.</em> Sarai ingaggiato/a come esperto/a Data Engineer al fine di implementare soluzioni innovative utilizzando la suite Microsoft Azure. Sarai la figura che contribuirà a disegnare la struttura delle pipeline per l’analisi dati anche in real time, la metadatazione, l’estrazione e navigazione della conoscenza, definendo i requisiti in termini di effort, risorse e tempi.</li><li><em>Orientamento al cliente.</em> Avrai la possibilità di lavorare nell’ambito di progetti di ricerca, su prototipi interni al gruppo Lutech e su progetti cliente. Potrai interfacciarti con il cliente nell’adozione delle soluzioni proposte, svolgendo attività di formazione all’utente finale su tecnologie di cui sarai esperto. Potrai avere un ruolo di affiancamento al team Sales nella fase di prevendita avendo capacità di individuare e abbinare le soluzioni ai requisiti aziendali dei clienti e di comunicare chiaramente i dettagli tecnici al personale aziendale e dirigenziale.</li><li><em>Team working.</em> Entrerai a far parte di un gruppo unito e collaborativo, dove si condivide la passione per la tecnologia, la motivazione a crescere professionalmente e l’approccio proattivo. Sarai un punto di riferimento per il reparto di delivery; sarai coinvolto nel processo di crescita e diffusione delle conoscenze tecniche verso i/le colleghi/e.</li></ul><p><strong>Esperienza</strong></p><p>È necessario avere almeno 2-3 anni di esperienza nell’ambito Data Management Microsoft, all’interno di un contesto di consulenza.</p><p>Si richiede conoscenza delle seguenti tecnologie:</p><ul><li>Servizi per Data Engineering Microsoft:<ul><li>Azure as a Whole</li><li>Azure Data Factory</li><li>Azure Databricks</li><li>Azure Synapse Analytics</li><li>Microsoft Power BI</li><li>Microsoft Fabric</li></ul></li></ul><p>Sono necessarie alcune competenze trasversali quali: autonomia, capacità relazionali, approccio analitico alla risoluzione dei problemi, capacità di comunicazione e di presentazione, conoscenza lingua inglese (parlata e scritta).</p><p><strong>Il gruppo e la cultura aziendale</strong></p><p>SoftJam è un’azienda rivolta allo sviluppo tecnologico e all’innovazione, per questo motivo dinamica e stimolante.</p><p>L’organizzazione aziendale è strutturata e allo stesso tempo flessibile al fine di lasciare spazio all’inventiva, alla proattività, incentivando quindi il gruppo e il singolo a crescere.</p><p>L’ambiente è informale, dove le persone “sono al centro” e lo dimostriamo concretamente: percorsi di carriera, percorsi di certificazione, lavoro agile, flessibilità oraria, sono alcuni degli elementi per noi fondamentali.</p><ul><li>Percorsi di carriera;</li><li>Certificazioni tecniche e formazione continua;</li><li>Premialità per conseguimento certificazione MS;</li><li>Assicurazione sanitaria;</li><li>Flessibilità oraria;</li></ul><p><strong>L’iter di selezione SJ</strong></p><ul><li><em>Colloquio motivazionale</em> con HR per condividere insieme informazioni importanti che devi sapere sull’azienda e sul ruolo.</li><li><em>Colloquio di approfondimento</em> che coinvolgerà referenti tecnici del Team per entrare nel merito delle attività e dei progetti.</li></ul><p>Se sei interessato, sarai ricontattato da un nostro incaricato nel più breve tempo possibile.</p>
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<p>At Frontiere, we make innovation accessible by removing internal and external barriers to organizations, reducing the time to access new technologies, and enabling the scalability of Medium and Large Enterprise businesses. New humanism, sustainability and accessibility are our founding elements, with attention to a User Experience of value that combines aesthetic elements and design typical of Made in Italy.</p><p>From the feasibility study and market analysis and trends, to the management of operations, through innovation, research and development, we help companies to design, shape and scale their business. In every step of innovation, we work alongside our Customers, integrating their expertise in consulting or technological aspects, strategically to make innovation possible.</p><h3>Who are we looking for</h3><p>We are looking for a Senior Data Engineer with at least 4 years of experience.</p><h3>RESPONSIBILITIES/SPECIFIC FUNCTIONS</h3><ul><li>4+ years of experience in Python development</li><li>4+ years of experience in development of major AI paradigms (Deep Learning, Machine Learning)</li><li>Excellent knowledge of the most widely used libraries (keras, pyTorch, sklearn, pandas, numpy, ...)</li><li>Excellent knowledge of SQL technologies.</li><li>Excellent knowledge of English.</li></ul><h3>KEY REQUIREMENTS</h3><ul><li>Experience or knowledge of Agile Software Development methodologies in particular Agile Scrum</li><li>Experience or knowledge of the main aspects of Software Engineering (OOP, Design Patterns, Solid Principles, ...)</li><li>Excellent interpersonal and communication skills</li><li>Results orientation</li><li>Strong analytical and problem-solving skills</li><li>Hybrid mode of work (both smart working and onsite);</li><li>Continued professional development through: courses, industry events, books, and in-house training;</li><li>Ticket restaurant for days worked on site;</li><li>Dynamic work environment, innovative projects and human-centered corporate culture.</li></ul><h3>Our mission</h3><p>High-level innovation accessible to all.</p><h3>Our vision</h3><p>We make innovation accessible by removing the internal and external barriers to companies, reducing the time to access new technologies thanks to our network, eliminating the entry costs required to introduce new digital technologies into the business.</p><h3>Our culture</h3><p><strong>New humanism, sustainability and accessibility are our founding elements, with attention to a User Experience of value that combines aesthetic and design elements typical of Made in Italy. Everyday actions reflect our founding values.</strong></p><p><strong>Innovation:</strong> The drive for the future is the key to our action. We create value through change and transformation, always ready to take advantage of new opportunities.</p><p><strong>Teamwork:</strong> We know that in a team you need to feel respected in your individuality and that the value of the team is based on the contribution of everyone towards a common goal.</p><p><strong>Sustainability:</strong> We are aware that the world of tomorrow is built with today’s actions. Attention to the environment is a lifestyle that can be found in every gesture, both inside and outside the company.</p><p><strong>Passion:</strong> Curiosity and the desire to go higher and higher knowing that we can always go beyond the results achieved are the engine of our work.</p><h3>Technology at the heart</h3><p>We are technology maniacs. We love to discover, understand and find new and special ways to build our solutions and continuously improve our products.</p><h3>Personal Growth</h3><p>We have an approach to work that is geared toward continuous experimentation, continuous technical development, and constant personal training and growth (with specific courses, articles, readings, etc.).</p><h3>Diversity and multiculture</h3><p>We have an approach to work that is geared toward continuous experimentation, continuous technical development, and constant personal training and growth (with specific courses, articles, readings, etc.).</p><h3>Our idea of Sustainability and Social Responsibility</h3><p>We believe in giving back to the communities in which we work and live. We encourage and support the commitment of our people to give back and help to improve their communities. We are geared toward long-term impact. We aspire through our work to contribute to a future that is equitable and sustainable, where everyone thrives on a planetary healthy and a level playing field. Without respect for the planet, its resources (limited) and for the generations to come, it is not possible to imagine a sustainable tomorrow. We orient business strategy and activities day-to-day towards the creation of shared value.</p>
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<ul><li>Manage and optimize databases to ensure data integrity, security, and accessibility.</li><li>Design and optimize scalable ETL pipelines.</li><li>Develop and integrate AI solutions using frameworks such as Langchain.</li><li>Ensure data quality in coordination with Data Scientists.</li></ul><h3><strong>Requirements:</strong></h3><ul><li>Experience in managing and optimizing relational databases.</li><li>Excellent proficiency in Python, deep knowledge of SQL, and familiarity with R (nice to have).</li><li>Knowledge of API frameworks.</li><li>Experience using versioning tools like Git.</li><li>Competence with cloud technologies, particularly Google Cloud Platform (GCP).</li><li>Familiarity with AI frameworks like Langchain and related tools and technologies.</li><li>Interest in the open-source world and familiarity with related technologies and tools.</li></ul><h3><strong>Nice to Have:</strong></h3><ul><li>Experience in creating ML/AI models, particularly LLM.</li><li>Knowledge of principles in managing and analyzing spatial data (geolocated data).</li><li>Experience with other cloud technologies like AWS and Azure.</li><li>Knowledge of Kubernetes and containerization with Docker.</li><li>Experience or interest in working with vector data for AI projects.</li><li>Experience with Apache Superset or other open-source and commercial Business Intelligence tools.</li><li>Knowledge of Apache Kafka, Apache NiFi, and Apache Spark for Big Data applications.</li></ul>
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As a Data Engineer I here at Honeywell, you will play a pivotal role in designing, developing, and implementing data engineering solutions within our organization. You will work with cross-functional teams to comprehend data requirements and deliver solutions that meet our business needs. Your technical expertise will be crucial in architecting and optimizing data pipelines and ETL processes for scalability and performance. In addition, you will stay up to date with emerging technologies and industry best practices in data engineering to ensure that Honeywell remains at the forefront of data engineering innovation. You will report directly to our Data Engineering Manager, and you will work remotely in this position. In this role, you will impact the effective collection, processing, and thoughtfulness of data to facilitate our business unbiased. At Honeywell, our people play a critical role in developing and assisting our employees to help them perform at their best and drive change across the company. Help to build a strong, diverse team by recruiting talent, identifying and developing successors, driving retention and engagement, and fostering an inclusive culture.

KEY RESPONSIBILITIES

• Design, develop, and implement data engineering solutions

• Work with cross-functional teams to comprehend data requirements and deliver solutions

• Architect and optimize data pipelines and ETL processes for scalability and performance while working within cloud technologies such as Azure and data bricks

• Stay up to date with emerging technologies and industry best practices in data engineering

BENEFITS OF WORKING FOR HONEYWELL

In addition to a performance-driven salary, cutting-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer-subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information visit: click here The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates.

YOU MUST HAVE

• Previous experience in data engineering, including designing and implementing data solutions

WE VALUE

• Bachelor’s degree within science, technology, engineering or mathematics is a plus.

• Hands on experience as a Data Engineer, Data Scientist.

• Big Data technologies such as Hadoop, Spark and Kafka.

• Programming in Python, Java or Scala.

ABOUT HONEYWELL

Honeywell Industrial Automation enables process industry operations, creates world-class sensor technologies, automates supply chains, makes warehouses smarter, and improves worker safety. This combination builds on our core strengths in controls and automation technologies which in turn allows us to deliver better commercial outcomes for our customers. We enable customers to enhance the safety, sustainability, resiliency, and productivity of their people, plants, and assets. Learn more about Honeywell: click here

Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.

Specialty/Competency: Data, Analytics & AI

Industry/Sector: EUR X-Sector

Time Type: Full time

Travel Requirements: Up to 80%

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

Analyse and identify the linkages and interactions between the component parts of an entire system.

Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.

Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.

Develop skills outside your comfort zone, and encourage others to do the same.

Effectively mentor others.

Use the review of work as an opportunity to deepen the expertise of team members.

Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.

Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

Minimum Degree Required

Bachelor's Degree

Required Field(s) of Study

Management Information Systems, Computer and Information Science, Systems Engineering,Electrical Engineering,Chemical Engineering,Industrial Engineering,Mathematics,Statistics,Mathematical Statistics

Minimum Year(s) of Experience

5 year(s)

Preferred Qualifications

Demonstrates abilities and/or success in one or many of the following areas:

Design and implement comprehensive data architecture strategies that meet the current and future business needs;

Develop and document data models, data flow diagrams, and data architecture guidelines;

Ensure data architecture is compliant with data governance and data security policies;

Collaborate with business stakeholders to understand their data requirements and translate them into technical solutions;

Evaluate and recommend new data technologies and tools to enhance data architecture;

Build, maintain, and optimize ETL/ELT pipelines for data ingestion, processing, and storage across batch and real-time data processing;

Build, maintain, and optimize Data Quality rules leveraging DQ tools and/or other ETL/ELT tools;

Develop and deploy scalable data storage solutions using AWS, Azure and GCP services such as S3, Redshift, RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud Storage etc.;

Implement data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow and other relevant services;

Design and manage data warehouses and data lakes, ensuring data is organized and accessible;

Monitor and troubleshoot data pipelines, data warehouses and workflows to ensure data quality, system reliability, performance and cost management;

Implement IAM roles and policies to manage access and permissions within AWS, Azure, GCP;

Use AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments;

Use AWS, Azure and GCP DevOps services to build and deploy DevOps pipelines;

Implement data security best practices using AWS, Azure, GCP, Snowflake or Databricks;

Optimize Cloud resources for cost, performance, and scalability;

Strong proficiency in SQL and experience with relational databases;

Proficient in programming languages such as Python, Java, or Scala;

Familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus;

Experience with machine learning and data science workflows is a plus;

Knowledge of data governance and data security best practices;

Strong analytical, problem-solving, and communication skill; and,

Ability to work independently and as part of a team in a fast-paced environment.

Demonstrates thought leader-level abilities with, and/or a proven record of success directing efforts in the following areas:

Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures;

Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback;

Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; and,

Coaching and collaborating with associates who assist with this work, including providing coaching, feedback and guidance on work performance.

Learn more about how we work: https://pwc.to/how-we-work

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer.

For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance.

Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

The salary range for this position is: $100,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

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