Data Processing System Engineer Job at Sopra Steria (Darmstadt)

Senior AWS Data Engineer / Data Platform Engineer

We are seeking a highly experienced Senior AWS Data Engineer to design, build, a...

Location

United Arab Emirates , Dubai

Salary:

Not provided

NorthBay

Expiration Date

Until further notice

Requirements

8+ years of experience in data engineering and data platform development
Strong hands-on experience with: AWS Glue
Amazon EMR (Spark)
AWS Lambda
Apache Airflow (MWAA)
Amazon EC2
Amazon CloudWatch
Amazon Redshift
Amazon DynamoDB
AWS DataZone

Job Responsibility

Design, develop, and optimize scalable data pipelines using AWS native services
Lead the implementation of batch and near-real-time data processing solutions
Architect and manage data ingestion, transformation, and storage layers
Build and maintain ETL/ELT workflows using AWS Glue and Apache Spark on EMR
Orchestrate complex data workflows using Apache Airflow (MWAA)
Develop and manage serverless data processing using AWS Lambda
Design and optimize data warehouses using Amazon Redshift
Implement and manage NoSQL data models using Amazon DynamoDB
Utilize AWS DataZone for data governance, cataloging, and access management
Monitor, log, and troubleshoot data pipelines using Amazon CloudWatch

Fulltime

Autonomous Systems Data Mining Engineer

We are seeking a Data Engineer with a systems mindset to own and simplify access...

Location

United States , San Mateo

Salary:

170000.00 - 240000.00 USD / Year

Skydio

Expiration Date

Until further notice

Requirements

3+ years of experience in data engineering, backend engineering, or infrastructure roles
Exposure to robotics, autonomy, or real-world sensor data pipelines
Strong proficiency in Python (or similar language) and SQL
Experience designing scalable data pipelines with tools such as Apache Spark, Airflow, dbt, or equivalent
Familiarity with log processing, time-series analysis, or working with large volumes of semi-structured data
Ability to work cross-functionally with ML engineers, autonomy engineers, and product stakeholders
Systems thinking: you enjoy untangling complexity and designing elegant abstractions that empower others

Job Responsibility

Design systems to unify scattered data sources (logs, telemetry, analytics tables, media, etc.) into easily discoverable and queryable formats
Enable efficient curation of machine learning datasets by tagging, indexing, and filtering for relevant scenarios (e.g., environmental conditions, sensor behavior, scene attributes)
Build tools to automatically surface anomalies, regressions, or key signatures in logs and telemetry data (e.g., CPU usage spikes, sensor noise, degraded conditions)
Develop mechanisms to rapidly compare releases and surface regressions in performance metrics, resource usage, and data quality
Architect and maintain scalable data pipelines and services to index, enrich, and query multimodal autonomy data (e.g., time series, media, tabular analytics)
Collaborate with autonomy and ML teams to understand data usage patterns and build tools that streamline their workflows
Develop efficient methods for search, tagging, and filtering over structured and unstructured data
Help design systems to label and retrieve rare or complex scenarios, both automatically at ingestion and via manual search
Build dashboards and visualizations to support release monitoring and anomaly detection across a variety of system health signals

What we offer

Equity in the form of stock options
Comprehensive benefits packages
Relocation assistance may also be provided for eligible roles
Paid vacation time
Sick leave
Holiday pay
401K savings plan
Group health insurance plans

Fulltime

Data Engineer - Core Systems

We are seeking a highly skilled and experienced Data Engineer to join our Core S...

Location

Germany; Spain , Berlin; Barcelona

Salary:

Not provided

N26

Expiration Date

Until further notice

Requirements

Background in Computer Science, Engineering, or a related field
5+ years of experience in data engineering, with a strong emphasis on data product development and data warehousing
Extensive experience with AWS Redshift, including data modelling, performance tuning, and cluster management
Proficiency in ETL tools such as Apache Airflow, AWS Glue, or similar
Strong programming skills in Python or Java
Expertise in SQL for data manipulation and analysis
Experience with data modelling techniques and best practices
Excellent problem-solving and analytical skills
Strong communication and interpersonal skills to collaborate effectively with cross-functional teams

Job Responsibility

Design, develop, and deploy scalable data products that provide meaningful insights to business stakeholders
Build and maintain a robust data mart infrastructure within AWS Redshift to support reporting needs
Design and implement efficient data models to optimize data storage, retrieval, and performance
Develop and maintain efficient ETL (Extract, Transform, Load) processes to ingest data from various sources into the data mart
Implement data quality checks and monitoring processes to ensure data accuracy and integrity
Continuously monitor and optimize data pipelines and queries for optimal performance
Work closely with data analysts, business intelligence teams, and other stakeholders to understand data requirements and deliver solutions
Stay abreast of emerging technologies and industry trends in data engineering and propose innovative solutions

What we offer

Accelerate your career growth by joining one of Europe’s most talked about disruptors
Employee benefits that range from a competitive personal development budget, work from home budget, discounts to fitness & wellness memberships, language apps and public transportation
As an N26 employee you will have access to a Premium subscription on your personal N26 bank account. As well as subscriptions for friends and family members
Additional day of annual leave for each year of service
A high degree of autonomy and access to cutting edge technologies - all while working with a friendly team of peers of diverse nationalities, life experiences and backgrounds
A relocation package with visa support for those who need it

Data Centre Systems Engineer

We are seeking multiple highly skilled Data Centre Systems Engineers with NV1 or...

Location

Australia , Canberra; Sydney; Melbourne

Salary:

Not provided

DeployPartners

Expiration Date

Until further notice

Requirements

NV1 or NV2 clearance (mandatory – no exceptions)
5+ years’ experience in data centre systems administration and infrastructure engineering
Strong expertise with: Operating Systems – Windows Server, Linux (RHEL, CentOS, Ubuntu)
Virtualisation – VMware ESXi, vSphere
Networking – routing, switching, load balancing (Cisco/Juniper/F5/others)
Firewalls – configuration and administration (e.g., Palo Alto, Fortinet, Cisco ASA/Firepower, CheckPoint)
Experience with automation and integration tools: Ansible Automation Platform (AAP), GitHub, ServiceNow
Familiarity with Algosec (highly desirable, though rare skill)
Strong troubleshooting and problem-solving skills in complex environments
Excellent communication and documentation skills

Job Responsibility

Manage and support Windows and Linux server infrastructure within secure environments
Operate and administer VMware virtualisation platforms in large-scale data centre environments
Configure and maintain network routing, switching, and load balancing solutions
Implement, operate, and maintain firewall platforms and related network security devices
Support automation initiatives using Ansible Automation Platform (AAP), GitHub, and ServiceNow integration
Where applicable, provide expertise in Algosec for firewall policy analysis and optimisation
Work with cross-functional teams to ensure compliance with security, performance, and availability requirements
Participate in incident response, troubleshooting, and root-cause analysis across infrastructure and security domains
Document designs, configurations, and operational processes to support knowledge transfer and audit requirements

What we offer

Competitive salary and performance-based incentives
Opportunities for training and certification
A culture of innovation and inclusion

Fulltime

System Engineer Multi-Tenant Data Centres EMEA

Our client is one of the world’s leading innovators in glass, ceramic, and mater...

Location

Germany , Berlin

Salary:

Not provided

Beautiful Recruitment

Expiration Date

Until further notice

Requirements

University Engineering Degree as a minimum requirement in a relevant subject to include Telecoms, Electrical Engineering, Materials Science, Process Engineering, Computer Science or equivalent software, engineering or science related subject
At least 2-5 years in Telecom, Data Centre, or ICT (Information & Communications Technology) design and engineering, having worked for either a manufacturer, integrator or contractor company
Strong C1 German and English writing and speaking skills
Data centre or Telecom Network Design knowledge and related proven experience
Demonstrated Technical Support Experience (customer oriented, field solutions, timely responses)
Ability to effectively communicate technical and complex ideas to both highly technical audiences and individuals with limited technical background
Comfortable working in cross-functional team environments and a willingness to collaborate and learn from others
Strong computer skills (Office365, Power point, Word, Excel, Visio) and BlueBeam
Telecom active equipment configuration: Ethernet switches, IP routers, OLT/ONT, etc.
Travel Requirements Up to 25% of the working time, primarily within Europe, but also potentially to the US, or Asia

Job Responsibility

From a customer enquiry, you will design the solution and be responsible for the Bill-of-Materials (BOMs) generation process
Conduct thorough BOM verification to ensure accuracy, completeness, and compliance with specifications and within our client’s product portfolio
Advise customers (internal or external) about products and their use in various applications. This includes explaining product benefits and determining detailed part number lists necessary for system solutions to fulfil customer RFQs (Request for Quote)
Collaborate with account managers and customers to address technical inquiries, provide solutions and resolve any discrepancies identified during the BOM verification process
Create datasheets, system design, rack elevation drawings, technical papers and customer responses as needed
Deliver internal and external training, workshops and presentations on our client’s products directly to customers, installers, and distribution partners
Provide pre-sales and after-sales customer support including product recommendation, system design, system installation training, testing, and troubleshooting at customer sites
Provide feedback to development/PLM (product line management) regarding new product evaluation, product improvements and compliance to regional standards and norms

What we offer

Attractive & Negotiable Base Salary DOE
Flexible Hybrid Working Model
Continuous Training & Development
Performance Bonus
Recognizing Excellence Award program – additional bonuses for extra work, extra achievement
Job Rad – co-financing bicycle to work
30 vacation days + public holidays
Flexible, mobile work – 3 days from office, 2 days from home
Health initiatives in the office

Fulltime

Senior Data Engineering Architect

Location

Poland

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

Proven work experience as a Data Engineering Architect or a similar role and strong experience in in the Data & Analytics area
Strong understanding of data engineering concepts, including data modeling, ETL processes, data pipelines, and data governance
Expertise in designing and implementing scalable and efficient data processing frameworks
In-depth knowledge of various data technologies and tools, such as relational databases, NoSQL databases, data lakes, data warehouses, and big data frameworks (e.g., Hadoop, Spark)
Experience in selecting and integrating appropriate technologies to meet business requirements and long-term data strategy
Ability to work closely with stakeholders to understand business needs and translate them into data engineering solutions
Strong analytical and problem-solving skills, with the ability to identify and address complex data engineering challenges
Proficiency in Python, PySpark, SQL
Familiarity with cloud platforms and services, such as AWS, GCP, or Azure, and experience in designing and implementing data solutions in a cloud environment
Knowledge of data governance principles and best practices, including data privacy and security regulations

Job Responsibility

Collaborate with stakeholders to understand business requirements and translate them into data engineering solutions
Design and oversee the overall data architecture and infrastructure, ensuring scalability, performance, security, maintainability, and adherence to industry best practices
Define data models and data schemas to meet business needs, considering factors such as data volume, velocity, variety, and veracity
Select and integrate appropriate data technologies and tools, such as databases, data lakes, data warehouses, and big data frameworks, to support data processing and analysis
Create scalable and efficient data processing frameworks, including ETL (Extract, Transform, Load) processes, data pipelines, and data integration solutions
Ensure that data engineering solutions align with the organization's long-term data strategy and goals
Evaluate and recommend data governance strategies and practices, including data privacy, security, and compliance measures
Collaborate with data scientists, analysts, and other stakeholders to define data requirements and enable effective data analysis and reporting
Provide technical guidance and expertise to data engineering teams, promoting best practices and ensuring high-quality deliverables. Support to team throughout the implementation process, answering questions and addressing issues as they arise
Oversee the implementation of the solution, ensuring that it is implemented according to the design documents and technical specifications

What we offer

Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites
Workation. Enjoy working from inspiring locations in line with our workation policy
Great Place to Work® certified employer
Flexibility regarding working hours and your preferred form of contract
Comprehensive online onboarding program with a “Buddy” from day 1
Cooperation with top-tier engineers and experts
Unlimited access to the Udemy learning platform from day 1
Certificate training programs. Lingarians earn 500+ technology certificates yearly
Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly
Grow as we grow as a company. 76% of our managers are internal promotions

Data Engineering & Analytics Lead

Premium Health is seeking a highly skilled, hands-on Data Engineering & Analytic...

Location

United States , Brooklyn

Salary:

Not provided

Premium Health

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred
Proven track record and progressively responsible experience in data engineering, data architecture, or related technical roles
healthcare experience preferred
Strong knowledge of data engineering principles, data integration, ETL processes, and semantic mapping techniques and best practices
Experience implementing data quality management processes, data governance frameworks, cataloging, and master data management concepts
Familiarity with healthcare data standards (e.g., HL7, FHIR, etc), health information management principles, and regulatory requirements (e.g., HIPAA)
Understanding of healthcare data, including clinical, operational, and financial data models, preferred
Advanced proficiency in SQL, data modeling, database design, optimization, and performance tuning
Experience designing and integrating data from disparate systems into harmonized data models or semantic layers
Hands-on experience with modern cloud-based data platforms (e.g Azure, AWS, GCP)

Job Responsibility

Collaborate with the CDIO and Director of Technology to define a clear data vision aligned with the organization's goals and execute the enterprise data roadmap
Serve as a thought leader for data engineering and analytics, guiding the evolution of our data ecosystem and championing data-driven decision-making across the organization
Build and mentor a small data team, providing technical direction and performance feedback, fostering best practices and continuous learning, while remaining a hands-on implementor
Define and implement best practices, standards, and processes for data engineering, analytics, and data management across the organization
Design, implement, and maintain a scalable, reliable, and high-performing modern data infrastructure, aligned with the organizational needs and industry best practices
Architect and maintain data lake/lakehouse, warehouse, and related platform components to support analytics, reporting, and operational use cases
Establish and enforce data architecture standards, governance models, naming conventions ,and documentation
Develop, optimize, and maintain scalable ETL/ELT pipelines and data workflows to collect, transform, normalize, and integrate data from diverse systems
Implement robust data quality processes, validation, monitoring, and error-handling frameworks
Ensure data is accurate, timely, secure, and ready for self-service analytics and downstream applications

What we offer

Paid Time Off, Medical, Dental and Vision plans, Retirement plans
Public Service Loan Forgiveness (PSLF)

Fulltime

Data Engineering Architect

Data engineering involves the development of solutions for the collection, trans...

Location

India

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

10+ years’ experience in the Data & Analytics area
4+ years’ experience into Data Engineering Architecture
Proficiency in Python, PySpark, SQL
Strong expertise in Azure cloud services such as: ADF, databricks, pyspark, Logic app
Strong understanding of data engineering concepts, including data modeling, ETL processes, data pipelines, and data governance
Expertise in designing and implementing scalable and efficient data processing frameworks
In-depth knowledge of various data technologies and tools, such as relational databases, NoSQL databases, data lakes, data warehouses, and big data frameworks (e.g., Hadoop, Spark)
Experience in selecting and integrating appropriate technologies to meet business requirements and long-term data strategy
Ability to work closely with stakeholders to understand business needs and translate them into data engineering solutions
Strong analytical and problem-solving skills, with the ability to identify and address complex data engineering challenges

Job Responsibility

Collaborate with stakeholders to understand business requirements and translate them into data engineering solutions
Design and oversee the overall data architecture and infrastructure, ensuring scalability, performance, security, maintainability, and adherence to industry best practices
Define data models and data schemas to meet business needs, considering factors such as data volume, velocity, variety, and veracity
Select and integrate appropriate data technologies and tools, such as databases, data lakes, data warehouses, and big data frameworks, to support data processing and analysis
Create scalable and efficient data processing frameworks, including ETL (Extract, Transform, Load) processes, data pipelines, and data integration solutions
Ensure that data engineering solutions align with the organization's long-term data strategy and goals
Evaluate and recommend data governance strategies and practices, including data privacy, security, and compliance measures
Collaborate with data scientists, analysts, and other stakeholders to define data requirements and enable effective data analysis and reporting
Provide technical guidance and expertise to data engineering teams, promoting best practices and ensuring high-quality deliverables
Support to team throughout the implementation process, answering questions and addressing issues as they arise

What we offer

Stable employment
“Office as an option” model
Flexibility regarding working hours and your preferred form of contract
Comprehensive online onboarding program with a “Buddy” from day 1
Cooperation with top-tier engineers and experts
Unlimited access to the Udemy learning platform from day 1
Certificate training programs
Upskilling support
Internal Gallup Certified Strengths Coach to support your growth
Grow as we grow as a company

Data Processing System Engineer

Sopra Steria

Location:
Germany , Darmstadt

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
September 30, 2025

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