Digital Solutions & Data Engineer Job at Aptiv plc (Braga)

Data Engineer (Digital Marketing sphere)

Data Management Platform is the core system that receives, processes and provide...

Location

Georgia; Moldova; Ukraine

Salary:

Not provided

Coherent Solutions

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Computer Engineering, or equivalent experience
4+ years of software development experience
2+ years of experience with Apache Spark
2+ years of experience with Scala (preferred) and/or Python or Java
Experience working with high-performance, large-scale, or distributed data systems
Experience with SQL and NoSQL databases
Experience with Kubernetes
Experience with Git
Experience building and optimizing data pipelines, ETL processes, and streaming systems (e.g., Hadoop, Spark, Kafka) is a plus
Familiarity with tools such as GitLab, Grafana, InfluxDB, and Kibana is a plus

Job Responsibility

Own end-to-end development, from design to production, with a focus on innovation and efficiency
Lead and mentor developers on complex projects impacting core business systems
Contribute to the design and development of next-generation data solutions
Implement high-scale big data solutions and contribute to platform infrastructure and architecture
Research and evaluate core technologies, integrations, and external APIs
Collaborate with cross-functional stakeholders, including Product, Engineering, and data providers
Participate in an off-hours pager duty rotation

What we offer

Technical and non-technical training for professional and personal growth
Internal conferences and meetups to learn from industry experts
Support and mentorship from an experienced employee to help you professional grow and development
Health insurance
English courses
Sports activities to promote a healthy lifestyle
Flexible work options, including remote and hybrid opportunities
Referral program for bringing in new talent
Work anniversary program and additional vacation days

Fulltime

Senior Data Engineer - Digital Marketing & Analytics

The Senior Data Engineer – Digital Marketing & Analytics is responsible for impl...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years experience in business analytics, data science, software development, data modeling, or data engineering
OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering
OR equivalent experience
2+ years experience with data governance, data compliance and/or data security
Experience supporting digital marketing, personalization, experimentation, or customer analytics use cases
Experience working with or alongside a Customer Data Platform (CDP), Azure and Fabric Data Factories
Familiarity with identity data concepts and activation workflows
Experience operating within architect-led or strategist-led delivery models

Job Responsibility

Build data pipelines and curated datasets per CDP architecture and Technical Architect guidelines
Define implementation specs covering mapping, transformation, validation, and dependencies
Maintain analytics- and activation-ready data layers for reporting, segmentation, personalization, and AI
Collaborate with Data Strategist and analytics teams to clarify measurement and AI requirements
Assess feasibility, risks, and methods using available data sources
Flag and recommend solutions for data gaps, quality issues, or dependencies
Integrate necessary first- and third-party data for CDP use cases
Apply standard ingestion and transformation patterns according to governance standards
Structure and document data for analytics and activation
Embed data quality checks, monitoring, and lineage in workflows

Fulltime

Sr. Digital Solution Engineer - Data & Analytics

Our purpose is to empower organizations to transform the way they work by harnes...

Location

India , Bangalore

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
10+ years of strong experience in data and analytics technologies, such as: SQL, data warehousing, and ETL/ELT pipelines
Experience with cloud platforms (preferably Microsoft Azure)
Customer-facing experience (pre-sales, consulting, or architecture roles)
Strong communication, presentation, and problem-solving skills

Job Responsibility

Build strong relationships with customer technical stakeholders
Understand business objectives and translate them into technical requirements
Provide guidance on modern data platform strategies and best practices
Design scalable, secure, and high-performance architectures using Azure Data Services
Lead architecture discussions and whiteboarding sessions
Align solutions to customer business outcomes and cloud best practices
Deliver Proof of Concepts, pilots, technical demos and prototypes, Architecture Design Sessions
Validate solution feasibility and demonstrate value in real-world scenarios
Influence and support customers in making technical decisions in favor of Azure
Collaborate with account teams to accelerate deal progression, identify expansion opportunities, and contribute to pipeline growth

Fulltime

Associate Digital Innovation Engineer - Data Science

We are looking for experienced data science professionals to be part of the data...

Location

India , Chennai

Salary:

Not provided

Buckman overview

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Data Science/Data Analytics, Applied Mathematics, Statistics, Computer Science or related science and technical field
Experience in developing predictive and deep data analytics solutions and optimization scenarios involving expertise in data extraction, analysis, and visualization
Hands-on work experience with open-source data analytics toolsets such as R, Python, etc.
Proficiency with modern statistical modeling (regression, boosting trees, random forests, etc.), machine learning (text mining, neural network, NLP, etc.), optimization (linear optimization, nonlinear optimization, stochastic optimization, etc.) methodologies
Exposure to data analytics and visualization platforms such as SAS, Rapidminer, MATLAB, Minitab, PowerBI, KNIME, PowerApps, etc.
Experience in cloud computing (Azure, AWS, etc.), data analytics architecture (Azure Machine Learning, Datalake analytics, Workbench, Stream Analytics, etc.) and data engineering technologies (Datalake, CosmosDB, Hadoop, SQL and No-SQL databases, etc.)
A demonstrated record of success with a verifiable portfolio of data science problems tackled in different domains
Strong communications skills in English and ability to work with global stakeholders effectively

Job Responsibility

Work closely with Buckman stakeholders to derive deep industry knowledge across leather, paper, water, and performance chemical industries
Help develop a data strategy for the company including collection of the right data, creation of the data science project portfolio, partnering with external providers and augmenting capabilities with additional internal hires
Communicating and developing relationship with key stakeholders and subject matter experts to tee up proofs of concept projects to demonstrate how data science can be used to solve problems in unique and novel ways
Working closely with a multi-disciplinary team consisting of sensor scientists, software engineers, network engineers, mechanical/electrical engineers, and chemical engineers in the development, and deployment of IoT solutions

Fulltime

Internship: Digital Solutions – Automation, Robotics & Data

Help Us Get Ahead Of Disease Together With Our Internship Programme...Are You Lo...

Location

Belgium , Rixensart

Salary:

Not provided

GSK

Expiration Date

Until further notice

Requirements

You are regularly enrolled in a Bachelor or Master’s degree in Computer Science, Software Engineering, Data Engineering, Bioinformatics, Automation, or a related scientific/engineering field in an Educational Establishment located in Europe
Good level in French and/or in English (written and spoken) is required
Good programming skills in Python are required
Basic knowledge of data processing, software architecture, or data visualization is required
The internship must be mandatory & done in the framework of the curriculum, for which an agreement must be signed between GSK, the student and the Educational Establishment

Job Responsibility

Contribute to the development and extension of internal application under proof of concept used by scientists to interpret liquid handling robots log files
Refine and extend log‑parsing and data‑extraction algorithms for liquid handling robots
Translate pilot user feedback into new software features, metrics, and visualizations
Prototype a cross‑platform dashboard summarizing key robot metrics (usage, errors, consumables, activity)
Improve code robustness, modularity, and documentation to support future technology handover
Support the formalization of technical learnings and user requirements (URS) for potential Tech ownership

What we offer

Competitive base salary
Annual bonus based on company performance
Flexible working options available for most roles
Learning and career development
Access to healthcare & wellbeing programmes
Employee recognition programmes
some expenses will be reimbursed

Fulltime

Senior Digital Solution Engineer, Cloud & AI Data

Are you insatiably curious, deeply passionate about the realm of databases and a...

Location

United States , Multiple Locations

Salary:

106400.00 - 222600.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Information Technology, Engineering or related field AND 4+ years technical pre-sales or technical consulting experience OR equivalent experience

Job Responsibility

Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments
Lead hands-on engagements—hackathons and architecture workshops—to accelerate adoption of Microsoft’s cloud platforms
Build trusted relationships with platform leads, co-designing secure, scalable architectures and solutions
Resolve technical blockers and objections, collaborating with engineering to share insights and improve products
Maintain deep expertise in Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL
Maintain and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions
Represent Microsoft through thought leadership in cloud Database & Analytics communities and customer forums

Fulltime

New

Lead Data Engineer - Data Transformation (Modeling and Architecture)

Lead Data Engineer - Data Transformation (Modeling and Architecture). Do you lov...

Location

United States , Richmond, Virginia; McLean, Virginia; Cambridge, Massachusetts

Salary:

179400.00 - 225100.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's Degree
At least 4 years of experience in application development
At least 2 years of experience in big data technologies
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Job Responsibility

Build and maintain comprehensive data models—spanning conceptual, logical, and physical layers—to ensure scalable architecture and high data integrity across enterprise systems
Lead design of the org data landscape by applying Consumer Driven design principles, ensuring that data structures reflect business realities and evolving organizational needs
Architect and implement robust data ecosystem solutions, including Data Lake and Data Warehouse patterns, to support diverse analytical and operational requirements
Support high-performance data pipelines and complex transformations that utilize SQL, Spark, and Python to process large-scale datasets efficiently
Define and Enforce rigorous data governance standards while managing metadata frameworks to ensure data compliance and discoverability
Translate complex technical concepts into actionable business insights, working independently to lead initiatives and collaborate with stakeholders to meet organizational goals
Contribute to the evolution of the data ecosystem by designing AI-ready architectures
Collaborate with and across Agile teams to design, develop, implement, and support technical solutions
Work with a team of developers with deep experience in machine learning, AI, distributed microservices, and full stack systems
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Comprehensive, competitive, and inclusive set of health, financial and other benefits

Fulltime

Lead Data Engineer - Nexus Data Products

Do you love building and pioneering in the technology space? Do you enjoy solvin...

Location

United States , McLean

Salary:

197300.00 - 225100.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor’s Degree
At least 4 years of experience in application development (Internship experience does not apply)
At least 2 years of experience in big data technologies
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Job Responsibility

Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance

What we offer

Performance based incentive compensation which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits

Fulltime

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Digital Solutions & Data Engineer

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