Senior DataOps Engineer Job at SNI sp. z o.o.

Senior Data Engineer

Our Senior Data Engineers enable public sector organisations to embrace a data-d...

Location

United Kingdom , Bristol; London; Manchester; Swansea

Salary:

60000.00 - 80000.00 GBP / Year

Made Tech

Expiration Date

Until further notice

Requirements

Enthusiasm for learning and self-development
Proficiency in Git (inc. Github Actions) and able to explain the benefits of different branch strategies
Gathering and meeting the requirements of both clients and users on a data project
Strong experience in IaC and able to guide how one could deploy infrastructure into different environments
Owning the cloud infrastructure underpinning data systems through a DevOps approach
Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop
Good understanding of the possible architectures involved in modern data system design (e.g. Data Warehouse, Data Lakes and Data Meshes) and the different use cases for them
Ability to create data pipelines on a cloud environment and integrate error handling within these pipelines. With an understanding how to create reusable libraries to encourage uniformity of approach across multiple data pipelines.
Able to document and present an end-to-end diagram to explain a data processing system on a cloud environment, with some knowledge of how you would present diagrams (C4, UML etc.)
To provide guidance how one would implement a robust DevOps approach in a data project. Also would be able to talk about tools needed for DataOps in areas such as orchestration, data integration and data analytics.

Job Responsibility

Enable public sector organisations to embrace a data-driven approach by providing data platforms and services that are high-quality, cost-efficient, and tailored to clients’ needs
Develop, operate, and maintain these services
Provide maximum value to data consumers, including analysts, scientists, and business stakeholders
Play one or more roles according to our clients' needs
Support as a senior contributor for a project, focusing on both delivering engineering work as well as upskilling members of the client team
Play more of a technical architect role and work with the larger MadeTech team to identify growth opportunities within the account
Have a drive to deliver outcomes for users
Make sure that the wider context of a delivery is considered and maintain alignment between the operational and analytical aspects of the engineering solution

What we offer

30 days of paid annual leave + bank holidays
Flexible Parental Leave
Part time remote working for all our staff
Paid counselling as well as financial and legal advice
Flexible benefit platform which includes a Smart Tech scheme, Cycle to work scheme, and an individual benefits allowance which you can invest in a Health care cash plan or Pension plan
Optional social and wellbeing calendar of events

Fulltime

Senior Sales Engineer

The Senior Sales Engineer role at Infinite Lambda is designed for a technical le...

Location

Salary:

Not provided

Infinite Lambda

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Engineering, Computer Science, or a related field is required
an advanced degree is preferred
A proven track record in sales engineering or technical sales, preferably within the data, cloud, or technology sectors, with significant leadership experience
experience in data engineering, analytics engineering and data scientist roles and related technologies, such as AWS, Azure, Snowflake, Redshift, Databricks, dbt and machine learning frameworks is essential
Stream processing and batch data warehouse processing, event-driven architecture, micro-services, DataOps and MLOps practices
Experience in international markets or expanding into new regions is a plus, particularly knowledge of South American markets and business practices, which is desirable for this role
Exceptional verbal and written communication skills, with the ability to translate complex technical concepts into business benefits for clients and stakeholders
Experience in leading sales engineering teams or functions, with a strategic mindset to influence company direction and market expansion
Strong ability to work effectively across different departments and levels, fostering collaboration with Product & Services, Customer Success, and Sales & Partnerships.

Job Responsibility

Initiate and manage engagements with prospective clients from the early stages of the sales process, ensuring a strong start to the sales cycle
Understand and document client needs, articulating how Infinite Lambda’s products and services can address these needs effectively
Collaborate with the sales team to drive a collaborative approach, creating compelling proposals that align with client expectations
Conduct and facilitate technical deep-dive workshops with prospective clients to showcase capabilities and gather insights, using workshop outputs to strengthen proposals
Identify relevant Infinite Lambda products and services, working with the sales team to position them strategically for each opportunity
Assist both the sales and delivery teams in estimating project scope, effort, and resources, producing realistic and commercially viable account strategies. This includes defining initial team composition, tools to utilise, and a high-level roadmap
Work with departments such as Product & Services, Customer Success, and Sales & Partnerships to clearly define roles and responsibilities, ensuring seamless collaboration across functions
Collaborate with Product & Services to stay informed about existing offerings and influence product roadmaps, helping design new products and services based on client feedback and market trends
Enhance the positioning of Infinite Lambda’s products and services during the sales process and beyond, improving how value is communicated to clients
Liaise with senior leadership (CEO, CTO, CPO, COO, CSO) at Infinite Lambda to formulate a clear strategy for combining data and cloud expertise into a holistic value proposition, strengthening the company’s market positioning

What we offer

private health insurance
work-from-home budget
unlimited paid holiday
wellness benefits
dedicated learning and development time
access to top-notch learning portals
coaching opportunities.

Senior Sales Engineer

The Senior Sales Engineer role at Infinite Lambda is designed for a technical le...

Location

United States

Salary:

Not provided

Infinite Lambda

Expiration Date

Until further notice

Requirements

A Bachelor’s degree in Engineering, Computer Science, or a related field is required
an advanced degree is preferred
A proven track record in sales engineering or technical sales, preferably within the data, cloud, or technology sectors, with significant leadership experience
experience in data engineering, analytics engineering and data scientist roles and related technologies, such as AWS, Azure, Snowflake, Redshift, Databricks, dbt and machine learning frameworks is essential
Stream processing and batch data warehouse processing, event-driven architecture, microservices, DataOps and MLOps practices
Experience in international markets or expanding into new regions is a plus, particularly knowledge of South American markets and business practices, which is desirable for this role
Exceptional verbal and written communication skills, with the ability to translate complex technical concepts into business benefits for clients and stakeholders
Experience in leading sales engineering teams or functions, with a strategic mindset to influence company direction and market expansion
Strong ability to work effectively across different departments and levels, fostering collaboration with Product & Services, Customer Success, and Sales & Partnerships.

Job Responsibility

Initiate and manage engagements with prospective clients from the early stages of the sales process, ensuring a strong start to the sales cycle
Understand and document client needs, articulating how Infinite Lambda’s products and services can address these needs effectively
Collaborate with the sales team to drive a collaborative approach, creating compelling proposals that align with client expectations
Conduct and facilitate technical deep-dive workshops with prospective clients to showcase capabilities and gather insights, using workshop outputs to strengthen proposals
Identify relevant Infinite Lambda products and services, working with the sales team to position them strategically for each opportunity
Assist both the sales and delivery teams in estimating project scope, effort, and resources, producing realistic and commercially viable account strategies. This includes defining initial team composition, tools to utilise, and a high-level roadmap
Work with departments such as Product & Services, Customer Success, and Sales & Partnerships to clearly define roles and responsibilities, ensuring seamless collaboration across functions
Collaborate with Product & Services to stay informed about existing offerings and influence product roadmaps, helping design new products and services based on client feedback and market trends
Enhance the positioning of Infinite Lambda’s products and services during the sales process and beyond, improving how value is communicated to clients
Liaise with senior leadership (CEO, CTO, CPO, COO, CSO) at Infinite Lambda to formulate a clear strategy for combining data and cloud expertise into a holistic value proposition, strengthening the company’s market positioning

What we offer

private health insurance
work-from-home budget
unlimited paid holiday
wellness benefits
dedicated learning and development time
access to top-notch learning portals
coaching opportunities

Senior Data Engineer

As a senior data engineer, you will help our clients with building a variety of ...

Location

Belgium , Brussels

Salary:

Not provided

Sopra Steria

Expiration Date

Until further notice

Requirements

At least 5 years of experience as a Data Engineer or in software engineering in a data context
Programming experience with one or more languages: Python, Scala, Java, C/C++
Knowledge of relational database technologies/concepts and SQL is required
Experience building, scheduling and maintaining data pipelines (Spark, Airflow, Data Factory)
Practical experience with at least one cloud provider (GCP, AWS or Azure). Certifications from any of these is considered a plus
Knowledge of Git and CI/CD
Able to work independently, prioritize multiple stakeholders and tasks, and manage work time effectively
You have a degree in Computer Engineering, Information Technology or related field
You are proficient in English, knowledge of Dutch and/or French is a plus.

Job Responsibility

Gather business requirements and translate them to technical specifications
Design, implement and orchestrate scalable and efficient data pipelines to collect, process, and serve large datasets
Apply DataOps best practices to automate testing, deployment and monitoring
Continuously follow & learn the latest trends in the data world.

What we offer

A variety of perks, such as mobility options (including a company car), insurance coverage, meal vouchers, eco-cheques, and more
Continuous learning opportunities through the Sopra Steria Academy to support your career development
The opportunity to connect with fellow Sopra Steria colleagues at various team events.

Senior Software Engineer

About the Role: As a Senior Software Engineer at Dotdigital, your role will invo...

Location

Poland; South Africa

Salary:

Not provided

Dotdigital

Expiration Date

Until further notice

Requirements

Strong expertise in .NET (console and web apps)
JavaScript (jQuery, VueJS)
TypeScript
HTML+CSS (Sass, Scss etc)
MSSQL with experience in other languages beneficial
Experience with cloud computing platforms, particularly Azure
Production experience in self-contained integration development
Experience with modern real-time analytical data platforms
Strong problem-solving skills and the ability to champion any given problem
Leadership, proactive, and communication talents, working well independently and within a remote team environment

Job Responsibility

Utilizing .NET and JavaScript programming languages to develop and maintain applications for our customers
Supporting multiple existing customer integrations hosted in our Azure web and task server environment
Working with our Solution Architects to bring their solution designs to life by collaborating with them through the entire project life cycle
Collaborating closely with Core Development, DataOps, and ServiceOps teams
Involvement with database design and maintenance for our integrations
Ownership of maintaining and improving our framework libraries
Continuously improving processes and finding opportunities for innovation

What we offer

Parental leave
Medical benefits
Paid sick leave
Dotdigital day
Share reward
Wellbeing reward
Wellbeing Days
Loyalty reward

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

Senior Data Engineer (GCP)

Get ready to take your place on n11, an open market platform has made valuable c...

Location

Turkey , Sarıyer/İstanbul

Salary:

Not provided

İTÜ ARI Teknokent

Expiration Date

Until further notice

Requirements

Academic degree in Data Engineering, Computer Engineering, Computer Science, Software Engineering, Applied Mathematics or similar background
Minimum of 5 years work experience
2+ years professional development experience with the GCP data stack
Expertise in architecting, developing, and managing real-time data pipelines
Expertise in deploying machine learning models in production
Experience with stream data pipeline frameworks or solutions
Experience working in message queuing, stream processing, and highly scalable ‘big data’ data stores
Experience with Kafka, PubSub, or other event-based systems
Experience working in cloud environments and with containerization frameworks, tools and platforms (e.g Docker, Kubernetes, GKE, etc)
Expertise in building data products incrementally and integrating/managing datasets on GCP from multiple sources

Job Responsibility

Analyze, Design, Implement, Test, and Document all new or modified AA/ML/DL systems, models and applications
Integrating data management technologies and software engineering tools into existing structures
Building and managing data jobs with various data platforms (on-prem rdbms to cloud and vice versa)
Implementation of data orchestration pipelines, data sourcing, cleansing, augmentation and quality control processes
Deployment of data pipelines in GCP
DevOps and DataOps skills including “infrastructure as code” systems
Leverage latest technologies to deliver better insights more quickly and cost effectively

Fulltime

New

Senior Consultant A2 - Data & AI

Microsoft Industry Solutions - Global Center for Innovation and Delivery Center ...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

10+ years of experience
Bachelor's degree in computer science engineering or equivalent work experience
Customer facing Project delivery leadership experience involving solution design, project envisioning, planning, development and deployment of complex solutions with minimum of 5 plus years
One or more of the following certifications, or other industry equivalent ones, is a plus: Microsoft Certified: Fabric Analytics Engineer Associate (DP600)
Microsoft Certified: Azure AI Engineer Associate (AI102)
Microsoft Certified: Azure Solution Architect Expert (AZ-305)
Areas of Expertise: Data Architecture & Platform Engineering
AI-First Delivery
Engineering Excellence & DataOps
AI / ML & Intelligent Systems

Job Responsibility

Lead technical delivery of complex, cloud native and AI enabled engagements
Define and drive the technology strategy for large and complex customer engagements
Design, develop, and deploy solutions on Microsoft Azure
Identifies the best practice approach for a project
Identifies dependencies and risks that go beyond the immediate scope and timeframe for a complex project
Collaborates, as appropriate, with peers and cross-functional teams to scale the business
Drives AI-First data engineering principles and mindset in the team
Continuously upskill self to become strong Full stack data engineer
Drives new ways of thinking, across the division and subsidiary
Implement rapid prototyping and able to lead from brainstorming and whiteboarding ideas to production-ready solutions

Fulltime

Senior DataOps Engineer

SNI sp. z o.o.

Location:

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 08, 2026

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