Command and Data Handling Engineer Job at NewSpace Technical (Reading)

Senior Data Engineer

We are looking for a Data Engineer to join our team and support with designing, ...

Location

Salary:

Not provided

Foundever

Expiration Date

Until further notice

Requirements

Minimum of 7 years plus experience in data engineering
Track record of deploying and maintaining complex data systems at an enterprise level within regulated environments
Expertise in implementing robust data security measures, access controls, and monitoring systems
Proficiency in data modeling and database management
Strong programming skills in Python and SQL
Knowledge of big data technologies like Hadoop, Spark, and NoSQL databases
Deep experience with ETL processes and data pipeline development
Strong understanding of data warehousing concepts and best practices
Experience with cloud platforms such as AWS and Azure
Excellent problem-solving skills and attention to detail

Job Responsibility

Design and optimize complex data storage solutions, including data warehouses and data lakes
Develop, automate, and maintain data pipelines for efficient and scalable ETL processes
Ensure data quality and integrity through data validation, cleansing, and error handling
Collaborate with data analysts, machine learning engineers, and software engineers to deliver relevant datasets or data APIs for downstream applications
Implement data security measures and access controls to protect sensitive information
Monitor data infrastructure for performance and reliability, addressing issues promptly
Stay abreast of industry trends and emerging technologies in data engineering
Document data pipelines, processes, and best practices for knowledge sharing
Lead data governance and compliance efforts to meet regulatory requirements
Collaborate with cross-functional teams to drive data-driven decision-making within the organization

What we offer

Impactful work
Professional growth
Competitive compensation
Collaborative environment
Attractive salary and benefits package
Continuous learning and development opportunities
A supportive team culture with opportunities for occasional travel for training and industry events

Backend Software Engineer - Reference Data Services

The role is for an experienced Software Engineer on the FACT Team at Clear Stree...

Location

United States , New York

Salary:

200000.00 - 250000.00 USD / Year

Clear Street

Expiration Date

Until further notice

Requirements

At least eight (8) years of professional experience implementing highly scalable services (we implement our code in Golang)
Confidence in designing and building flexible APIs which enable a microservice architecture to reliably deliver consistent data
Contributed to systems that deliver solutions to complex business problems that handle massive amounts of data
Drawn towards scale, distributed systems, and associated technologies
Strong command over object-oriented design patterns, data structures, and algorithms
Communicate technical ideas with ease and always look to collaborate to deliver high quality products
Experience will help you mentor team members, define our engineering standards, and drive a system design approach to building new services

Job Responsibility

Work with a team of passionate and highly collaborative engineers to build out our core Platform
Own the design and implementation of new features and services
Turn the complexity of processing financial transactions across various asset classes into highly scalable services
Tackle non trivial problems that will challenge you to flex your system design muscles, balance trade offs, and implement clean efficient code
As a voice of experience in the team, you will help mentor teammates, evolve our technical standards and best practices, and further our culture of system designs

What we offer

Competitive compensation packages
Company equity
401k matching
Gender neutral parental leave
Full medical, dental and vision insurance
Lunch stipends
Fully stocked kitchens
Happy hours
A great location
Amazing views

Fulltime

Data Operations Engineer

We're seeking an early-career data professional who can support development and ...

Location

United States

Salary:

65000.00 - 90000.00 USD / Year

Personify Health

Expiration Date

Until further notice

Requirements

2-3 years experience in data engineering, analytics engineering, or related technical role
AWS Certification (or willingness to obtain within 6-12 months), such as AWS Cloud Practitioner or AWS Developer – Associate
Experience handling support tickets or operational data issues strongly preferred (~50% of role)
Proficiency in Python (required) and SQL, including writing queries, joins, basic transformations, and troubleshooting
Hands-on experience with relational databases (PostgreSQL, Oracle, AWS RDS) and familiarity with basic data warehouse concepts
Understanding of ETL/ELT pipelines, data validation, and data quality monitoring
Basic knowledge of Linux command line for navigating servers and running scripts
Some exposure to cloud environments (AWS, Azure) preferred but not required
Familiarity with JIRA and Git/Bitbucket for version control and task management
Effective written and verbal communication skills with ability to document findings and processes

Job Responsibility

Support data pipelines: Assist in maintaining and troubleshooting ETL/ELT data pipelines used for healthcare and TPA claims processing across on-prem and cloud environments
Handle operational support: Manage support tickets (~50% of time), responding to user requests, researching data questions, and helping resolve operational data problems efficiently
Work with core technologies: Use Python and SQL to support data extraction, transformation, validation, and loading while monitoring pipeline performance and resolving data issues
Monitor and troubleshoot: Review logs, investigate failed jobs, and correct data discrepancies while supporting daily process monitoring including production processes and application performance
Maintain data quality: Execute routine data quality checks, maintain documentation, and follow up on accuracy concerns to ensure reliable data across systems
Support database operations: Work with data management tasks in systems such as PostgreSQL, Oracle, and cloud-based databases while learning healthcare data formats
Collaborate cross-functionally: Partner with Data Analysts, Developers, and business users to understand data needs and support ongoing reporting and data operations
Continue learning: Participate in team meetings, sprint activities, and knowledge-sharing sessions while working with senior team members to develop data engineering skills

What we offer

Comprehensive medical and dental coverage through our own health solutions
Mental health support and wellness programs designed by experts who get it
Flexible work arrangements that fit your life
Retirement planning support to help you build real wealth for the future
Basic Life and AD&D Insurance plus Short-Term and Long-Term Disability protection
Employee savings programs and voluntary benefits like Critical Illness and Hospital Indemnity coverage
Professional development opportunities and clear career progression paths
Mentorship from industry leaders who want to see you succeed
Learning budget to invest in skills that matter to your future
Unlimited PTO policy

Fulltime

Celonis Technical Lead

Sopra Steria, a leading tech company in Europe, is hiring a Celonis Technical Le...

Location

India , Noida

Salary:

Not provided

Sopra Steria

Expiration Date

Until further notice

Requirements

Sound knowledge and experience of Process Mining using Celonis
Strong experience in programming, preferably Vertica SQL/PQL and Python
Experience handling large datasets
Working knowledge of data models and data structures
Technical expertise with data mining
Experience with Time Series Data
Ability to codify process into step by step linear commands
Experience with data visualization tools such as Power BI and Tableau
Professional experience writing performant SQL queries and improving existing code
Experience working with relational and non-relational databases

Job Responsibility

Implementation projects for clients from various industries that process data at various levels of complexity
Translate complex functional and technical requirements into data models
Setup of process data extractions including table and field mappings
Estimating and modeling memory requirements for data processing
Prepare and connect to On-premise/Cloud source system, extract and transform customer data, and develop process- and customer-specific studies
Solicit requirements for Business Process Mining models, including what data they will utilise and how the organisation will use them when they are built
Building accurate, reliable, and informative business process mining models will enable our company to expand even more quickly
Build the infrastructure required for optimal extraction, transformation and loading of data from disparate data sources
Applying analytics and modelling will enable us to own and actively drive process improvement projects and initiatives within the relevant function
Maintaining our familiarity with the Celonis platform will require us to write documentation on its technical procedures and processes

What we offer

Inclusive and respectful work environment
Open to people with disabilities

Fulltime

Staff DevOps - Data Platform

We are looking for a Staff DevOps - Data Platform to join the Data and ML Platfo...

Location

France , Paris

Salary:

Not provided

Doctolib

Expiration Date

Until further notice

Requirements

7+ years of experience after graduation as a Staff Data Platform Engineer, Staff Data Ops, Staff Site Reliability Engineer, or in a similar role, with a history of architecting and scaling robust data platforms
Extensive experience with Google Cloud Platform and a command of Kubernetes & Terraform for automated deployments
Authority on implementing network and IAM security best practices
Deep technical proficiency in orchestrating data pipelines using Airflow or Dagster, deploying applications to the cloud, and leveraging modern data warehouses such as BigQuery
Highly skilled in programming with Python, and have a solid understanding of software development principles
Excellent troubleshooter who excels at diagnosing and fixing data infrastructure and identifying performance bottlenecks
Strong communicator who can articulate complex technical concepts to both technical and non-technical audiences

Job Responsibility

Design and implement enterprise-scale data infrastructure strategies, conducting thorough impact and cost analysis for major technical decisions, and establishing architectural standards across the organization
Build and optimize complex, multi-region data pipelines handling petabyte-scale datasets, ensuring 99.9% reliability and implementing advanced monitoring and alerting systems
Lead cost analysis initiatives, identify optimization opportunities across our data stack, and implement solutions that reduce infrastructure spend while improving performance and reliability
Provide technical guidance to data engineers and cross-functional teams, conduct architecture reviews, and drive adoption of best practices in DataOps, security, and governance
Evaluate emerging technologies, conduct proof-of-concepts for new data tools and platforms, and lead the technical roadmap for data infrastructure modernization

What we offer

Free comprehensive health insurance for you and your children
Parent Care Program: receive one additional month of leave on top of the legal parental leave
Free mental health and coaching services through our partner Moka.care
For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
Work from EU countries and the UK for up to 10 days per year, thanks to our flexibility days policy
Work Council subsidy to refund part of sport club membership or creative class
Up to 14 days of RTT
A subsidy from the work council to refund part of the membership to a sport club or a creative class
Lunch voucher with Swile card

Fulltime

Principal Data Engineer

Our Platform Engineering Team is working to solve the Multiplicity Problem. We a...

Location

United States , Reston

Salary:

Not provided

Intellibus

Expiration Date

Until further notice

Requirements

ETL – Experience with ETL processes for data integration
SQL – Strong SQL skills for querying and data manipulation
Python – Strong command of Python, especially in AWS Boto3, JSON handling, and dictionary operations
Unix – Competent in Unix for file operations, searches, and regular expressions
AWS – Proficient with AWS services including EC2, Glue, S3, Step Functions, and Lambda for scalable cloud solutions
Database Modeling – Solid grasp of database design principles, including logical and physical data models, and change data capture (CDC) mechanisms
Snowflake – Experienced in Snowflake for efficient data integration, utilizing features like Snowpipe, Streams, Tasks, and Stored Procedures
Airflow – Fundamental knowledge of Airflow for orchestrating complex data workflows and setting up automated pipelines
Bachelor's degree in Computer Science, or a related field is preferred. Relevant work experience may be considered in lieu of a degree
Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and stakeholders

Job Responsibility

Design, develop, and maintain data pipelines to ingest, transform, and load data from various sources into Snowflake
Implement ETL (Extract, Transform, Load) processes using Snowflake's features such as Snowpipe, Streams, and Tasks
Design and implement efficient data models and schemas within Snowflake to support reporting, analytics, and business intelligence needs
Optimize data warehouse performance and scalability using Snowflake features like clustering, partitioning, and materialized views
Integrate Snowflake with external systems and data sources, including on-premises databases, cloud storage, and third-party APIs
Implement data synchronization processes to ensure consistency and accuracy of data across different systems
Monitor and optimize query performance and resource utilization within Snowflake using query profiling, query optimization techniques, and workload management features
Identify and resolve performance bottlenecks and optimize data warehouse configurations for maximum efficiency
Work on Snowflake modeling – roles, databases, schemas, ETL tools with cloud-driven skills
Work on SQL performance measuring, query tuning, and database tuning

Senior Software Engineer - Trade Processing Middle Office Platform

As an experienced Staff / Senior Software Engineer, you’ll shape our flagship Mi...

Location

United States , New York

Salary:

170000.00 - 240000.00 USD / Year

Clear Street

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or Engineering
10+ years of strong proficiency in Java / Spring Boot, Spring, RDBMS, Service Oriented Architecture (SOA), microservice based server side application development
Strong experience with distributed systems, event-driven architecture, and tools like Kafka
Practical knowledge of relational databases (e.g., Postgres) and schema design
You have contributed to systems that deliver solutions to complex business problems that handle massive amounts of data
You prioritize end user experience and it shows in your API designs, functionality, and performance
You have a strong command over design patterns, data structures, and algorithms
You have strong problem-solving skills with a keen eye for performance optimization
You can clearly explain the nuances of system design and paradigms to engineers and stakeholders
Strong understanding of multi-threading, concurrency, and performance tuning

Job Responsibility

Architect and build highly available, horizontally scalable mission critical applications in a modern technology stack
Design, build, and optimize core components responsible for processing a high volume of trade data in a low latency environment
Solve complex performance and scalability challenges, ensuring our systems handle large-scale financial data efficiently
Collaborate with product managers, and other engineers to translate financial methodologies into robust software solutions
Lead by example in system design discussions, architectural trade-offs, and best practices
Mentor team members, contributing to a strong culture of engineering excellence

What we offer

Competitive compensation, benefits, and perks
Company equity
401k matching
Gender neutral parental leave
Full medical, dental and vision insurance
Lunch stipends
Fully stocked kitchens
Happy hours

Fulltime

Staff DataOps Engineer

We are looking for a Staff DataOps / Platform Engineer to join the Data and ML p...

Location

France , Paris

Salary:

Not provided

Doctolib

Expiration Date

Until further notice

Requirements

7+ years of experience after graduation as a Senior Data Platform, Senior Data Engineer or in a similar role, with a history of architecting and scaling robust data platforms
Extensive experience with Google Cloud Platform and a command of Kubernetes & Terraform for automated deployments
Authority on implementing network and IAM security best practices
Deep technical proficiency in orchestrating data pipelines using Airflow or Dagster, deploying applications to the cloud, and leveraging modern data warehouses such as BigQuery
Highly skilled in programming with Python, and have a solid understanding of software development principles
Excellent troubleshooter who excels at diagnosing and fixing data infrastructure and identifying performance bottlenecks
Strong communicator who can articulate complex technical concepts to both technical and non-technical audiences

Job Responsibility

Design and implement enterprise-scale data infrastructure strategies, conducting thorough impact and cost analysis for major technical decisions, and establishing architectural standards across the organization
Build and optimize complex, multi-region data pipelines handling petabyte-scale datasets, ensuring 99.9% reliability and implementing advanced monitoring and alerting systems
Lead cost analysis initiatives, identify optimization opportunities across our data stack, and implement solutions that reduce infrastructure spend while improving performance and reliability
Provide technical guidance to data engineers and cross-functional teams, conduct architecture reviews, and drive adoption of best practices in DataOps, security, and governance
Evaluate emerging technologies, conduct proof-of-concepts for new data tools and platforms, and lead the technical roadmap for data infrastructure modernization

What we offer

Free comprehensive health insurance for you and your children
Parent Care Program: receive one additional month of leave on top of the legal parental leave
Free mental health and coaching services through our partner Moka.care
For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
Work from EU countries and the UK for up to 10 days per year, thanks to our flexibility days policy
Work Council subsidy to refund part of sport club membership or creative class
Up to 14 days of RTT
A subsidy from the work council to refund part of the membership to a sport club or a creative class
Lunch voucher with Swile card

Fulltime

Command and Data Handling Engineer

NewSpace Technical

Location:
United Kingdom , Reading

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 22, 2026

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