Luxoft

Project Description:

This is a strategic data engineering engagement with our client to architect and plan the migration of their entire data processing and ETL estate from Matillion to AWS Glue — a foundational shift in how one of the world's largest financial market infrastructure companies handles its data pipelines.
During this Mobilisation Phase, you'll work jointly with engineering teams to reverse-engineer the existing landscape, design the target-state architecture across every layer (infrastructure, data processing, workflows, dependencies, and operating model), and build the detailed delivery blueprint that will greenlight the full-scale migration.
The work is technically rich and highly collaborative: you'll review and validate job inventories spanning hundreds of ETL workflows, define reusable migration patterns and templates, design a validation and reconciliation framework, run a proof-of-concept to stress-test the approach, and navigate rigorous internal governance — from Architectural Significance Assessments through Architectural Review Boards to a formal Gate 1 decision.

Responsibilities:

-Target-state architecture design — define and own the target-state AWS architecture across compute, data, and orchestration layers
-HLD/LLD ownership — produce and own High-Level Design and Low-Level Design documentation for migration workloads
-ARB submissions — prepare and present architecture proposals to the Architecture Review Board for approval
-Technical decisions — make and document key technical decisions across the migration program, balancing trade-offs (cost, performance, scalability)
Pattern definition — define reusable architecture and migration patterns for use across teams/pods
-Agentic AI framework architecture — design the architecture for the Agentic AI migration framework, including its integration with the broader technical landscape

Mandatory Skills:

AWS Database Migration Service

Mandatory Skills Description:

- 5+ years experience
- hands-on experince with AWS Migration
- AWS Glue, Step Functions, Lambda, EventBridge — deep hands-on experience designing solutions using these core AWS services
- IaC (Terraform) — strong experience defining and managing infrastructure as code with Terraform
- Data platform architecture — proven experience architecting data platforms (data lakes, warehouses, pipelines) at scale
- PySpark — hands-on experience with PySpark for large-scale data processing
- CI/CD — experience designing and implementing CI/CD pipelines for infrastructure and data workflows
- AI/ML frameworks — working knowledge of AI/ML frameworks and their application within architecture design
- GitHub Copilot — practical experience using GitHub Copilot within development/architecture workflows

Nice-to-Have Skills Description:

- AWS certification (Data Analytics Specialty or Solutions Architect)
- Experience with BI tools (QuickSight, Tableau, Power BI)
- Infrastructure as Code experience (Terraform/CloudFormation)
- Industry experience relevant to your business
- Exposure to streaming data (Kinesis) or ML pipelines (SageMaker)
- experince in financial domain

Languages:

English: C2 Proficient

Project description

This is a strategic data engineering engagement with our client to architect and plan the migration of their entire data processing and ETL estate from Matillion to AWS Glue — a foundational shift in how one of the world's largest financial market infrastructure companies handles its data pipelines.
During this Mobilisation Phase, you'll work jointly with engineering teams to reverse-engineer the existing landscape, design the target-state architecture across every layer (infrastructure, data processing, workflows, dependencies, and operating model), and build the detailed delivery blueprint that will greenlight the full-scale migration.
The work is technically rich and highly collaborative: you'll review and validate job inventories spanning hundreds of ETL workflows, define reusable migration patterns and templates, design a validation and reconciliation framework, run a proof-of-concept to stress-test the approach, and navigate rigorous internal governance — from Architectural Significance Assessments through Architectural Review Boards to a formal Gate 1 decision.

Responsibilities

-Target-state architecture design — define and own the target-state AWS architecture across compute, data, and orchestration layers

-HLD/LLD ownership — produce and own High-Level Design and Low-Level Design documentation for migration workloads

-ARB submissions — prepare and present architecture proposals to the Architecture Review Board for approval

-Technical decisions — make and document key technical decisions across the migration program, balancing trade-offs (cost, performance, scalability)

Pattern definition — define reusable architecture and migration patterns for use across teams/pods

-Agentic AI framework architecture — design the architecture for the Agentic AI migration framework, including its integration with the broader technical landscape

Skills

Must have

5+ years experience

hands-on experince with AWS Migration

AWS Glue, Step Functions, Lambda, EventBridge — deep hands-on experience designing solutions using these core AWS services

IaC (Terraform) — strong experience defining and managing infrastructure as code with Terraform

Data platform architecture — proven experience architecting data platforms (data lakes, warehouses, pipelines) at scale

PySpark — hands-on experience with PySpark for large-scale data processing

CI/CD — experience designing and implementing CI/CD pipelines for infrastructure and data workflows

AI/ML frameworks — working knowledge of AI/ML frameworks and their application within architecture design

GitHub Copilot — practical experience using GitHub Copilot within development/architecture workflows

Nice to have

AWS certification (Data Analytics Specialty or Solutions Architect)

Experience with BI tools (QuickSight, Tableau, Power BI)

Infrastructure as Code experience (Terraform/CloudFormation)

Industry experience relevant to your business

Exposure to streaming data (Kinesis) or ML pipelines (SageMaker)

experince in financial domain

Other

Languages

English: C2 Proficient

• This is a strategic data engineering engagement with our client to architect and plan the migration of their entire data processing and ETL estate from Matillion to AWS Glue — a foundational shift in how one of the world's largest financial market infrastructure companies handles its data pipelines.
  During this Mobilisation Phase, you'll work jointly with engineering teams to reverse-engineer the existing landscape, design the target-state architecture across every layer (infrastructure, data processing, workflows, dependencies, and operating model), and build the detailed delivery blueprint that will greenlight the full-scale migration.
  The work is technically rich and highly collaborative: you'll review and validate job inventories spanning hundreds of ETL workflows, define reusable migration patterns and templates, design a validation and reconciliation framework, run a proof-of-concept to stress-test the approach, and navigate rigorous internal governance — from Architectural Significance Assessments through Architectural Review Boards to a formal Gate 1 decision.

   

• Responsibilities:

  -Target-state architecture design — define and own the target-state AWS architecture across compute, data, and orchestration layers
  -HLD/LLD ownership — produce and own High-Level Design and Low-Level Design documentation for migration workloads
  -ARB submissions — prepare and present architecture proposals to the Architecture Review Board for approval
  -Technical decisions — make and document key technical decisions across the migration program, balancing trade-offs (cost, performance, scalability)
  Pattern definition — define reusable architecture and migration patterns for use across teams/pods
  -Agentic AI framework architecture — design the architecture for the Agentic AI migration framework, including its integration with the broader technical landscape

   

• Mandatory Skills Description:

  - 5+ years experience

  - 2 month project with posibility of extentention
  - hands-on experince with AWS Migration
  - AWS Glue, Step Functions, Lambda, EventBridge — deep hands-on experience designing solutions using these core AWS services
  - IaC (Terraform) — strong experience defining and managing infrastructure as code with Terraform
  - Data platform architecture — proven experience architecting data platforms (data lakes, warehouses, pipelines) at scale
  - PySpark — hands-on experience with PySpark for large-scale data processing
  - CI/CD — experience designing and implementing CI/CD pipelines for infrastructure and data workflows
  - AI/ML frameworks — working knowledge of AI/ML frameworks and their application within architecture design
  - GitHub Copilot — practical experience using GitHub Copilot within development/architecture workflows

   

• Nice-to-Have Skills Description:

  - AWS certification (Data Analytics Specialty or Solutions Architect)
  - Experience with BI tools (QuickSight, Tableau, Power BI)
  - Infrastructure as Code experience (Terraform/CloudFormation)
  - Industry experience relevant to your business
  - Exposure to streaming data (Kinesis) or ML pipelines (SageMaker)
  - experince in financial domain

   

• Languages:
  • English: C2 Proficient

• This is a strategic data engineering engagement with our client to architect and plan the migration of their entire data processing and ETL estate from Matillion to AWS Glue — a foundational shift in how one of the world's largest financial market infrastructure companies handles its data pipelines.
  During this Mobilisation Phase, you'll work jointly with client's engineering teams to reverse-engineer the existing landscape, design the target-state architecture across every layer (infrastructure, data processing, workflows, dependencies, and operating model), and build the detailed delivery blueprint that will greenlight the full-scale migration.
  The work is technically rich and highly collaborative: you'll review and validate job inventories spanning hundreds of ETL workflows, define reusable migration patterns and templates, design a validation and reconciliation framework, run a proof-of-concept to stress-test the approach, and navigate client's rigorous internal governance — from Architectural Significance Assessments through Architectural Review Boards to a formal Gate 1 decision.
  This is the kind of engagement where your recommendations directly shape a multi-phase, multi-million-pound programme: the target-state framework you produce here becomes the blueprint that a larger delivery team will execute against. Perfect opportunity for combining deep data engineering knowledge with architecture leadership, stakeholder influence, and structured delivery planning inside a Tier 1 financial services environment

• Responsibilities:

  - Design, build, and maintain ETL/ELT pipelines on AWS
  - Migrate existing data pipelines and workloads from legacy/on-prem systems to AWS
  - Develop and optimize data models for data warehouse/data lake (Redshift, S3)
  - Build and orchestrate data workflows (Glue, Step Functions, Lambda, EMR)
  - Implement data quality checks, validation, and reconciliation processes
  - Optimize pipeline performance and manage compute/storage costs
  - Ensure data security and access control (IAM, KMS, encryption)
  - Monitor and troubleshoot pipeline failures (CloudWatch, logging)
  - Collaborate with data analysts, BI developers, and architects on data requirements
  - Document data pipelines, architecture, and operational runbooks

• Mandatory Skills Description:

  - 5+ years of experience
  - Hands-on experience building data pipelines on AWS (Glue, EMR, Lambda, Step Functions)
  - Strong SQL and experience with data warehousing (Redshift, dimensional modeling)
  - Proficiency in Python or Scala for data engineering
  - Experience with S3-based data lake architecture (partitioning, cataloging, formats like Parquet)
  - Experience migrating data pipelines from on-prem or other cloud platforms
  - Understanding of data governance, security, and access control on AWS
  - Experience with CI/CD for data pipelines

• Nice-to-Have Skills Description:

  - AWS certification (Data Analytics Specialty or Data Engineer Associate)
  - Experience with streaming data (Kinesis, MSK/Kafka)
  - Familiarity with Infrastructure as Code (Terraform/CloudFormation)
  - Experience with orchestration tools (Airflow, dbt)
  - Experience in financial domain

This is a strategic data engineering engagement with our client to architect and plan the migration of their entire data processing and ETL estate from Matillion to AWS Glue — a foundational shift in how one of the world's largest financial market infrastructure companies handles its data pipelines.
During this Mobilisation Phase, you'll work jointly with client's engineering teams to reverse-engineer the existing landscape, design the target-state architecture across every layer (infrastructure, data processing, workflows, dependencies, and operating model), and build the detailed delivery blueprint that will greenlight the full-scale migration.
The work is technically rich and highly collaborative: you'll review and validate job inventories spanning hundreds of ETL workflows, define reusable migration patterns and templates, design a validation and reconciliation framework, run a proof-of-concept to stress-test the approach, and navigate client's rigorous internal governance — from Architectural Significance Assessments through Architectural Review Boards to a formal Gate 1 decision.
This is the kind of engagement where your recommendations directly shape a multi-phase, multi-million-pound programme: the target-state framework you produce here becomes the blueprint that a larger delivery team will execute against. Perfect opportunity for combining deep data engineering knowledge with architecture leadership, stakeholder influence, and structured delivery planning inside a Tier 1 financial services environment

• Responsibilities:

  - Agentic AI Migration Framework development — design and build an agentic AI framework to automate and accelerate migration workflowsж
  - Pattern library build — develop and maintain a library of reusable migration patterns/templates for common conversion scenarios;
  -Automated conversion pipeline — build pipelines that automatically convert/transform code and configurations (e.g., Matillion jobs) as part of the migration process;
  -GitHub Copilot integration for code generation — integrate GitHub Copilot into the migration workflow to accelerate code generation and conversion tasks;
  -Support factory pods — provide technical support, tooling, and troubleshooting to migration factory pods executing migrations at scale

• Mandatory Skills Description:

  - Python — strong hands-on Python development experience for building tools and automation
  - GenAI/LLM integration — experience integrating GenAI/LLM capabilities into applications, workflows, or tooling
  - Prompt engineering — hands-on experience designing, testing, and optimizing prompts for LLM-based tools
  - AWS Bedrock — hands-on experience with AWS Bedrock for building GenAI-powered applications
  - GitHub Copilot — practical experience using and/or integrating GitHub Copilot into development workflows
  - Automation frameworks — experience designing and building automation frameworks/tooling from scratch
  - Testing — strong experience with test automation and validation frameworks to ensure conversion accuracy
  - Matillion JSON parsing — experience parsing, interpreting, and transforming Matillion job definitions (JSON format)

This is a strategic data engineering engagement with our client to architect and plan the migration of their entire data processing and ETL estate from Matillion to AWS Glue — a foundational shift in how one of the world's largest financial market infrastructure companies handles its data pipelines.
During this Mobilisation Phase, you'll work jointly with engineering teams to reverse-engineer the existing landscape, design the target-state architecture across every layer (infrastructure, data processing, workflows, dependencies, and operating model), and build the detailed delivery blueprint that will greenlight the full-scale migration.
The work is technically rich and highly collaborative: you'll review and validate job inventories spanning hundreds of ETL workflows, define reusable migration patterns and templates, design a validation and reconciliation framework, run a proof-of-concept to stress-test the approach, and navigate rigorous internal governance — from Architectural Significance Assessments through Architectural Review Boards to a formal Gate 1 decision.

• Responsibilities:

  -Target-state architecture design — define and own the target-state AWS architecture across compute, data, and orchestration layers
  -HLD/LLD ownership — produce and own High-Level Design and Low-Level Design documentation for migration workloads
  -ARB submissions — prepare and present architecture proposals to the Architecture Review Board for approval
  -Technical decisions — make and document key technical decisions across the migration program, balancing trade-offs (cost, performance, scalability)
  Pattern definition — define reusable architecture and migration patterns for use across teams/pods
  -Agentic AI framework architecture — design the architecture for the Agentic AI migration framework, including its integration with the broader technical landscape

• Mandatory Skills Description:

  - 5+ years experience
  - hands-on experince with AWS Migration
  - AWS Glue, Step Functions, Lambda, EventBridge — deep hands-on experience designing solutions using these core AWS services
  - IaC (Terraform) — strong experience defining and managing infrastructure as code with Terraform
  - Data platform architecture — proven experience architecting data platforms (data lakes, warehouses, pipelines) at scale
  - PySpark — hands-on experience with PySpark for large-scale data processing
  - CI/CD — experience designing and implementing CI/CD pipelines for infrastructure and data workflows
  - AI/ML frameworks — working knowledge of AI/ML frameworks and their application within architecture design
  - GitHub Copilot — practical experience using GitHub Copilot within development/architecture workflows

• Nice-to-Have Skills Description:

  - AWS certification (Data Analytics Specialty or Solutions Architect)
  - Experience with BI tools (QuickSight, Tableau, Power BI)
  - Infrastructure as Code experience (Terraform/CloudFormation)
  - Industry experience relevant to your business
  - Exposure to streaming data (Kinesis) or ML pipelines (SageMaker)
  - experince in financial domain

Project Description:

GrowthX is a key growth engine for DXC’s enterprise application modernisation business. We help clients modernise legacy applications across a wide range of technologies, from mainframe to modern distributed platforms.

In this role, you will lead DXC’s largest and most strategic application modernisation opportunities from the initial client conversation through to a signed deal and a successful transition into delivery. You will also help grow the client relationship beyond the initial engagement.

Sales teams identify opportunities and delivery teams shape the technical solution. You own the space in between — turning client interest into a compelling proposition, driving the deal forward, and making it happen.

You will manage a significant pipeline of parallel opportunities, work directly with senior client stakeholders, coordinate multiple internal teams, and drive the key decisions required to win.

This is a high-profile role with strong visibility across DXC, including senior leadership, and offers significant scope for individual impact.

Responsibilities:

Own strategic application modernisation opportunities from initial qualification through contract signature and transition into delivery.
Work closely with Sales to understand client needs, shape the opportunity and define the win strategy.
Partner with delivery and technical teams to develop compelling, commercially viable solutions.
Act as the key link between the client, Sales, solution teams and delivery throughout the sales cycle.
Build trusted relationships with senior client stakeholders and confidently lead executive-level conversations.
Manage multiple complex opportunities simultaneously, ensuring clear ownership, momentum and follow-through.
Drive opportunity strategy, commercial discussions, pricing, negotiations and risk management.
Identify and resolve blockers, make decisions and keep opportunities moving without waiting for direction.
Ensure a strong handover from sales into delivery and help identify opportunities to expand the client relationship.
Become a trusted SME on application modernisation, understanding client challenges and connecting them to the right DXC capabilities and services.
Work effectively across multiple regions, teams and time zones.

Mandatory Skills Description:

Approximately 10 years of relevant experience in technical pre-sales, solution consulting, engagement or delivery management, or hands-on software delivery. We value drive, ambition and impact more than a specific number of years.
Strong understanding of application modernisation, with experience across legacy and modern technology environments. You should be able to engage credibly with technical stakeholders without needing to be a hands-on architect.
Excellent communication skills and strong executive presence, with the ability to build trust quickly and influence senior client stakeholders.
Exceptional organisation and dependability, with the ability to manage a high volume of parallel opportunities and consistently follow through.
Strong commercial acumen, including an understanding of pricing, win strategy, delivery economics, third-party dependencies and delivery risk.
A proactive and entrepreneurial mindset. You take ownership, create momentum, challenge when needed and drive decisions rather than waiting for instructions.
Proven ability to work across Sales, Delivery, Technology and other internal functions to bring complex opportunities together.
Ability to operate effectively in a fast-paced, high-visibility environment with multiple competing priorities.

Nice-to-Have Skills Description:

Experience in core banking or payments, for example Hogan or similar platforms.
Experience working across multiple regions, cultures and time zones.
Additional language skills.
Experience with large-scale enterprise transformation or application modernisation programmes.

Languages:

English: C1 Advanced

• Our client is a leading global Financial market data provider who runs a change program aiming to migrate a set of legacy data connectors to a new strategic platform. The main driver is to deliver high-quality software that connects Financial Markets across the globe in a real-time, high frequency, and low-latency data management chain. The projects are technically challenging in an environment that is very engaging. Projects will utilize a multitude of different languages and skillsets with a focus on C++ and scripting languages.
  
  We are looking for a C++ software engineer/developer with experience in implementation backend systems and services running under Linux, Cloud, ideally, with capabilities to deliver projects independently and coordinate work with BA, QA, Operational, and cross-functional application teams.

   

• Responsibilities:

  • Develop high-quality software, design, and functional documentation
  • Provide estimates for specific software feature implementation
  • Identify, prioritize, and execute tasks in the software development life cycle
  • Build unit tests for your code
  • Automate tasks through appropriate tools and scripting
  • Perform validation and verification testing
  • Collaborate with internal teams and vendors to fix and improve products
  • Ensure software is up-to-date with the latest technologies and standards

   

• Mandatory Skills Description:

  Hard skills:
  - Proficient in full life-cycle software development with an emphasis on object-oriented design in C++.
  - Experienced in Linux-based development environments.
  - Skilled in network communications (TCP/UDP), Docker containerization, and AWS cloud platforms.
  
  Soft skills:
  - Capable of effective collaboration within a team setting while also being able to work independently.
  - Demonstrates strong analytical abilities and a genuine enthusiasm for problem-solving.
  - Communicates fluently in English at an Upper-Intermediate spoken level.

   

• Nice-to-Have Skills Description:

  • Optional ability to research and recommend new technologies, demonstrating rapid adaptability to change.
  • Optional experience in working with market data and trading environments.

   

• Languages:
  • English: B2 Upper Intermediate

Project description

Our client is a leading global Financial market data provider who runs a change program aiming to migrate a set of legacy data connectors to a new strategic platform. The main driver is to deliver high-quality software that connects Financial Markets across the globe in a real-time, high frequency, and low-latency data management chain. The projects are technically challenging in an environment that is very engaging. Projects will utilize a multitude of different languages and skillsets with a focus on C++ and scripting languages.
We are looking for a C++ software engineer/developer with experience in implementation backend systems and services running under Linux, Cloud, ideally, with capabilities to deliver projects independently and coordinate work with BA, QA, Operational, and cross-functional application teams.

Responsibilities

Develop high-quality software, design, and functional documentation

Provide estimates for specific software feature implementation

Identify, prioritize, and execute tasks in the software development life cycle

Build unit tests for your code

Automate tasks through appropriate tools and scripting

Perform validation and verification testing

Collaborate with internal teams and vendors to fix and improve products

Ensure software is up-to-date with the latest technologies and standards

Skills

Must have

Hard skills:

Proficient in full life-cycle software development with an emphasis on object-oriented design in C++.

Experienced in Linux-based development environments.

Skilled in Python programming, network communications (TCP/UDP), Docker containerization, and AWS cloud platforms.

Soft skills:

Capable of effective collaboration within a team setting while also being able to work independently.

Demonstrates strong analytical abilities and a genuine enthusiasm for problem-solving.

Communicates fluently in English at an Upper-Intermediate spoken level.

Nice to have

Optional ability to research and recommend new technologies, demonstrating rapid adaptability to change.

Optional experience in working with market data and trading environments.

Languages

English: B2 Upper Intermediate

Project Description:

Our client is a leading global Financial market data provider who runs a change program aiming to migrate a set of legacy data connectors to a new strategic platform. The main driver is to deliver high-quality software that connects Financial Markets across the globe in a real-time, high frequency, and low-latency data management chain. The projects are technically challenging in an environment that is very engaging. Projects will utilize a multitude of different languages and skillsets with a focus on C++ and scripting languages.

We are looking for a C++ software engineer/developer with experience in implementation backend systems and services running under Linux, Cloud, ideally, with capabilities to deliver projects independently and coordinate work with BA, QA, Operational, and cross-functional application teams.

Responsibilities:

• Develop high-quality software, design, and functional documentation
• Provide estimates for specific software feature implementation
• Identify, prioritize, and execute tasks in the software development life cycle
• Build unit tests for your code
• Automate tasks through appropriate tools and scripting
• Perform validation and verification testing
• Collaborate with internal teams and vendors to fix and improve products
• Ensure software is up-to-date with the latest technologies and standards

Mandatory Skills Description:

Hard skills:
- Proficient in full life-cycle software development with an emphasis on object-oriented design in C++.
- Experienced in Linux-based development environments.
- Skilled in Python programming, network communications (TCP/UDP), Docker containerization, and AWS cloud platforms.

Soft skills:
- Capable of effective collaboration within a team setting while also being able to work independently.
- Demonstrates strong analytical abilities and a genuine enthusiasm for problem-solving.
- Communicates fluently in English at an Upper-Intermediate spoken level.

Nice-to-Have Skills Description:

• Optional ability to research and recommend new technologies, demonstrating rapid adaptability to change.
• Optional experience in working with market data and trading environments.

Languages:

English: B2 Upper Intermediate

Our client is a leading global Financial market data provider who runs a change program aiming to migrate a set of legacy data connectors to a new strategic platform. The main driver is to deliver high-quality software that connects Financial Markets across the globe in a real-time, high frequency, and low-latency data management chain. The projects are technically challenging in an environment that is very engaging. Projects will utilize a multitude of different languages and skillsets with a focus on C++ and scripting languages.

We are looking for a C++ software engineer/developer with experience in implementation backend systems and services running under Linux, Cloud, ideally, with capabilities to deliver projects independently and coordinate work with BA, QA, Operational, and cross-functional application teams.

• Responsibilities:

  • Develop high-quality software, design, and functional documentation
  • Provide estimates for specific software feature implementation
  • Identify, prioritize, and execute tasks in the software development life cycle
  • Build unit tests for your code
  • Automate tasks through appropriate tools and scripting
  • Perform validation and verification testing
  • Collaborate with internal teams and vendors to fix and improve products
  • Ensure software is up-to-date with the latest technologies and standards

• Mandatory Skills Description:

  Hard skills:
  - Proficient in full life-cycle software development with an emphasis on object-oriented design in C++.
  - Experienced in Linux-based development environments.
  - Skilled in Python programming, network communications (TCP/UDP), Docker containerization, and AWS cloud platforms.
  
  Soft skills:
  - Capable of effective collaboration within a team setting while also being able to work independently.
  - Demonstrates strong analytical abilities and a genuine enthusiasm for problem-solving.
  - Communicates fluently in English at an Upper-Intermediate spoken level.

The project is for one of the world's famous science and technology companies in pharmaceutical industry, supporting initiatives in AWS, AI and data engineering, with plans to launch over 20 additional initiatives in the future. Modernizing the data infrastructure through the transition to Snowflake as a priority, as it will enhance capabilities for implementing advanced AI solutions and unlock numerous opportunities for innovation and growth.

We are seeking a highly skilled Snowflake Data Engineer to design, build, and optimize scalable data pipelines and cloud-based solutions across AWS, Azure, and GCP. The ideal candidate will have strong expertise in Snowflake, ETL Tools like DBT, Python, visualization tools like Tableau and modern CI/CD practices, with a deep understanding of data governance, security, and role-based access control (RBAC). Knowledge of data modeling methodologies (OLTP, OLAP, Data Vault 2.0), data quality frameworks, Stream lit application development and SAP integration and infrastructure-as-code with Terraform is essential. Experience working with different file formats such as JSON, Parquet, CSV, and XML is highly valued.

• Responsibilities:

  • In-depth knowledge of Snowflake's data warehousing capabilities.
  • Understanding of Snowflake's virtual warehouse architecture and how to optimize performance
  and cost.
  • Proficiency in using Snowflake's data sharing and integration features for seamless collaboration.
  • Develop and optimize complex SQL scripts, stored procedures, and data transformations.
  • Work closely with data analysts, architects, and business teams to understand requirements and
  deliver reliable data solutions.
  • Implement and maintain data models, dimensional modeling for data warehousing, data marts,
  and star/snowflake schemas to support reporting and analytics.
  • Integrate data from various sources including APIs, flat files, relational databases, and cloud
  services.
  • Ensure data quality, data governance, and compliance standards are met.
  • Monitor and troubleshoot performance issues, errors, and pipeline failures in Snowflake and
  associated tools.
  • Participate in code reviews, testing, and deployment of data solutions in development and production environments.

• Mandatory Skills Description:

  • 5+ years of experience
  • Strong proficiency in Snowflake (Snowpipe, RBAC, performance tuning).
  • Ability to write complex SQL queries, stored procedures, and user-defined functions.
  • Skills in optimizing SQL queries for performance and efficiency.
  • Experience with ETL/ELT tools and techniques, including Snowpipe, AWS Glue, openflow, fivetran
  or similar tools for real-time and periodic data processing.
  • Proficiency in transforming data within Snowflake using SQL, with Python being a plus.
  • Strong understanding of data security, compliance and governance.
  • Experience with DBT for database object modeling and provisioning.
  • Experience in version control tools, particularly Azure DevOps.
  • Good documentation and coaching practice.

Project Description:

The Governance Team is looking for an Infographic / Presentation Designer to support the creation, beautification, and professional polishing of business presentations and reports.

The main focus of the role is to transform business information, data, and complex ideas into clear, visually engaging, and professional PowerPoint presentations tailored to different audiences, including management and leadership.

The designer will work closely with R&A team members and business stakeholders to ensure that presentations effectively communicate key messages through strong visual storytelling, infographics, layouts, and consistent corporate design.

The role also includes formatting and visual improvement of Microsoft Word documents and, where required, supporting content presentation in Confluence.

Responsibilities:

- Create, beautify and professionally polish Microsoft PowerPoint presentations in line with corporate design standards and business requirements.
- Transform complex business information, data, and ideas into clear, concise, and engaging visual stories.
- Create infographics, diagrams, charts, timelines, process flows, and other visual elements for presentations and reports.
- Improve slide layouts, structure, visual hierarchy, readability, and overall presentation consistency.
- Adapt presentation style and level of visualization depending on the target audience, including senior management and leadership.
- Create and maintain reusable PowerPoint slides, presentation templates, and visual assets.
- Work with existing presentations and improve them while preserving the original business message and content.
- Compile, format, and visually improve Microsoft Word documents and reports.
- Prepare and edit visual assets using Adobe Photoshop when required.
- Collaborate with Governance team members and business stakeholders to understand requirements and deliver materials within agreed timelines.
- Ensure consistency, accuracy, attention to detail, and high visual quality across all delivered materials.

Mandatory Skills:

Adobe Photoshop

Microsoft PowerPoint

Microsoft Word

Mandatory Skills Description:

- Strong Microsoft PowerPoint skills with proven experience in professional presentation design, beautification, and polishing.
- Strong understanding of presentation design principles, including composition, layout, typography, visual hierarchy, alignment, and consistency.
- Ability to transform complex information and data into clear and engaging infographics and visualizations.
- Experience creating and formatting charts, diagrams, process flows, timelines, and other business graphics.
- Good knowledge of Microsoft Word, including professional document formatting and layout.
- Working knowledge of Microsoft Excel, particularly for handling data used in presentations, charts, and reports.
- Good working knowledge of Adobe Photoshop for editing and preparing visual assets.
- Ability to follow corporate branding guidelines and presentation templates while maintaining a high level of visual quality.
- Strong attention to detail and ability to work with multiple presentation and document requests.

Project Description:

We're looking for an experienced Oracle E-Business Suite R12 Developer to join our Oracle team. You'll design, build, and support customizations across EBS modules, working closely with functional consultants and business stakeholders to keep our ERP environment running smoothly and evolving with the business.

Responsibilities:

Design, develop, and maintain customizations, extensions, and interfaces within Oracle EBS R12
Build and enhance PL/SQL packages, procedures, functions, and triggers
Develop and customize using OAF (Oracle Application Framework), Oracle Forms, XML Publisher, Oracle Workflow Builder, WebADI
Troubleshoot and resolve production issues across Financials and SCM modules
Collaborate with functional teams to translate business requirements into technical solutions
Perform code reviews and ensure adherence to development standards
Provide production support and troubleshoot performance issues

Mandatory Skills:

• Oracle Application Express (APEX)
• Oracle Application Framework (OAF)
• Oracle E-Business Suite (OEBS)
• Oracle Forms
• Oracle Web Applications Desktop Integrator (WebADI)

Mandatory Skills Description:

• 5+ years of hands-on experience with Oracle E-Business Suite development R12.2
• Strong proficiency in PL/SQL, SQL, and Unix/Linux shell scripting
• Experience with OAF (Oracle Application Framework) and/or ADF, Oracle Forms, XML Publisher, Oracle Workflow Builder, WebADI etc.
• Working knowledge of next functional area: Financials (GL, AP, AR, FA, CE), SCM (INV, PO)
• Understanding of EBS data model, table structures, APIs etc.
• Experience with version control (GIT) and change management processes
• Strong analytical and debugging skills

Nice-to-Have Skills Description:

• Experience with extending of R12 with AI capabilities
• Experience with Integrated SOA Gateway (ISG, SIF)
• Experience with Oracle Integration Cloud (OIC), OCI AI Services
• Experience with Oracle Command Center Framework for extending standard and creation custom Command Centers
• Participate in EBS upgrades, patching, and cloning activities
• Working knowledge of next functional area: PPM (Project Costing, Project Billing, Project Resource Management, Project Contracts etc.)
• Experience with APEX
• Oracle certifications

Project description

Our client is a Swiss leader in online trading, serving over 500,000 clients who can trade more than 3 million products through highly performant and secure platforms. In addition to various online trading products, including stocks, bonds, funds, derivative products, and cryptocurrencies, we also offer Forex, Robo-Advisory, and Mortgage solutions.

Since 2012, we have developed innovative and cutting-edge digital solutions that help customers achieve their investment goals. Our solutions are continuously evolving, transitioning into atomic microservices and self-contained systems.

Your mission is to deliver high-quality and human-centered design concepts and collaborate with your team and other stakeholders to provide the best solutions on time.

Responsibilities

Identify and realise user personas, user flow, and user journeys

Produce complete wireframes and prototypes

Provide intuitive and modern digital interfaces

Deliver daily UI tasks respecting the timing

Use & support the current Design System

Support and propose documentation for components and design patterns

Demonstrate communication skills and articulate your design decisions to the stakeholders

Collaborate with other designers to maintain design consistency

Skills

Must have

5+ years of experience in web and UX design, with experience in the finance, banking, or insurance sectors.

Knowledge of Atomic Design

Experience with a Design System

Strong English skills are mandatory for client communication

Proficiency in Figma, including team libraries, auto layout, component properties, branching, and variables

Good understanding of user personas and user flows

Ability to demonstrate a portfolio showcasing UX and UI design work, including the process behind it

Flexible and client-oriented mindset

Continuously staying up to date with the latest UX/UI trends

A team player who enjoys working, interacting, and learning with a remote team of professionals

Highly organised, autonomous, and detail-oriented

Nice to have

Knowledge of HTML & CSS & Creative suite is a plus

UI animation is a plus