Luxoft

• Project Description:

  We're seeking a strong and creative Software Developer eager to solve problems of scale and work on cutting edge and open-source technologies. In this project, you will have the opportunity to write code that will impact thousands of users every month. You'll implement your critical thinking and technical skills to develop cutting edge software, and you'll have the opportunity to interact with teams across disciplines.
  
  In Luxoft, our culture is one that strives on solving difficult problems focusing on product engineering based on hypothesis testing to empower people to come up with ideas. Great Place to Work Institute certifies us as one of the Top 10 companies to work for in Mexico and other geographies, and we do it with a truly flexible environment, high impact projects in Agile environments, a culture focused on results, training and strong support to grow your career.

• Responsibilities:

  - Work closely with other engineers, designers, and management teams to rapidly build, iterate, test, and deploy new features and products and main a high-quality robust codebase
  - Improve and scale the existing products and tools
  - Launch new projects from ideation to completion
  - Actively support your team's deployed software
  - Drive the development team towards the goal by integrating skills and experiences.
  - design integration with 3rd parties (Python AWS interoperability role)
  - work with Auths (Authorizations) process - connect to many different systems interoperability via healthcare data / companies / health systems / EMR
  - Work with QA, product management, and operations in an Agile environment.
  - Develop and support data-driven product decisions in a high energy high-impact team.
  - Participate in the resolution of production issues and lead efforts toward solutions.
  - To maintain legacy applications and participate in the migration to newer technology in the mid-term if needed.
  - Collaborate and drive research to find the solution to system bugs and issues.

• Mandatory Skills Description:

  - 5+ years of professional software development experience
  - Strong understanding of Computer Science fundamentals in data structures, algorithms, and design patterns
  - Advanced proficiency in Python 3.12+ as software or data engineering
  - MongoDB, ideally with Beanie ODM (async) for persistence layer
  - OAuth/OIDC + JWT — auth via Keycloak and Descope; backend is provider-agnostic, works off JWT claims
  - Docker / docker-compose — everything runs in containers
  - Mastery of API design (REST), FastAPI (async)
  - Comprehensive grasp of databases (SQL/NoSQL)
  - Expertise in cloud services
  - Experience with Event-Driven Microservices Identity management/OAuth
  - Experience with observability, tracing, and other cloud-native patterns

• Nice-to-Have Skills Description:

  - Healthcare interoperability resources (FHIR) R4, SMART Health Links/Cards (SHL/SHC)
  - JWE decryption
  - Testing discipline: pytest + Cucumber/Playwright E2E
  - QR/image decoding (pyzbar/zbar)
  - storage connector integration (Google Drive, OneDrive, Box, SMTP, FHIR servers)
  - Observability: OpenTelemetry, Prometheus
  - infrastructure: Apache Kafka, AWS Secrets Manager

• Languages:
  • English: B2 Upper Intermediate

One of the world's largest providers of products and services to the energy industry has a need to develop and support enterprise information system in Oil & Gas domain specifically related to reservoir management.
We're creating new team which will be closely working with the client.
Technological stack is expected to evolve to the modern Cloud technologies.

• Responsibilities:

  The candidate will be working on the core part of a numerical simulator.
  The candidate should be capable of developing steady-state or transient numerical models for fluid dynamics by himself, implementing them in C++ code, and validating the result.

• Mandatory Skills Description:

  3+ years of work experience with C++.
  Background in Physics.
  Good English skills: ability to read/write in English and conduct basic conversations over the phone.

• Nice-to-Have Skills Description:

  Good knowledge of numerical methods, thermodynamics, and fluid dynamics in addition to Ms.S or Ph.D. degree.
  Knowledge of petroleum/reservoir engineering is a big benefit. An ideal candidate would have a degree in physics and coding experience in reservoir or fluid/aero dynamics numerical simulators.
  Experience with Java.

• Project Description:

  The project focuses on developing advanced software solutions for the oil and gas industry, supporting key stages of the reservoir lifecycle, including exploration, development, production, operations, maintenance, and abandonment.
  
  The successful candidate will join the Information Management and Platform Technologies Development team and contribute to the design and development of next-generation software products. The role offers an opportunity to work with modern technologies, apply innovative ideas, and build solutions used in complex energy industry environments.

• Responsibilities:

  Key Responsibilities/Accountabilities:
  - Knowledge of software engineering best practices (including requirements analysis, system design, modularity, version control, testing, documentation, etc.) for productivity, collaboration, quality, and maintainability.
  - Knowledge of how a component fits into a larger ecosystem of products and services.
  - Understanding of how these different pieces work together, and communicate with them (using library calls, REST APIs, database queries, etc.)
  - Know how to build appropriate interfaces for components that others will depend on. Knowledge of basic system design patterns to avoid bottlenecks and let your algorithms scale well with increasing volumes of data.
  - Perform research and development tasks.
  - Expected to design, code, test, do troubleshooting and document engineering systems applications by following the software development lifecycle.
  - Accomplishes engineering and organization mission by completing related results as needed.
  - Updates job knowledge by studying state-of-the-art development tools, programming techniques, and computing equipment; participating in educational opportunities; reading professional publications; participating in professional organizations.

• Mandatory Skills Description:

  - Degree in Computer Science, Engineering, or equivalent. Master's preferred
  - Software Development Fundamentals
  - Strong understanding of Object-Oriented Design and Principles
  - 5+ years of professional experience with Java and Angular
  - Build & CI/CD: Git Ci/CD, Helm
  - Database background: Posgtess
  - REST API Express
  - Hapi
  - Self-motivated
  - Problem Solving skills
  - Works well within a team
  - Excellent communication skills

• Nice-to-Have Skills Description:

  - Web front-end technologies and tools: HTML5, CSS, SASS, JavaScript, Angular 16+, Angular CLI, Typescript, NPM, and VS Code.
  - Web back-end technologies: RESTful APIs using Microservices (NodeJS, C#, C++, Python), Express, JSON, OData, Web Sockets, and Java EE.
  - Testing: JEST, Karma/Jasmine, E2E testing with Protractor.
   MAVEN, Jenkins & Ansible, Containerization.
  - Cloud: Knowledge in cloud technologies (Azure and Amazon)

• 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.
  - 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.
  • Python programming

• Languages:
  • English: B2 Upper Intermediate

Project description

We are building the platform, which supports various information gathering and processing across the bank. The PMC application, Price Master Central (PMC) is a global reference data management application - responsible for sourcing securities/Pricing data from market vendors and internal sources and providing it to downstream clients after applying client specific rules.

Responsibilities

Manage a team

Intensive communication with project stakeholders and other teams

Evaluate and adopt new development tools, libraries and approaches to improve delivery quality

Continuous quality improvement (code reviews, fixing Sonar issues, unit/integration/E2E test coverage)

Integrate our components with different internal and external client's systems

Configure, monitor, and troubleshoot Application servers

Monitor applications, processes, scheduled jobs, collect different types of logs and metrics

Setup and improve CI/CD

Automate routine with scripting languages

Write all types of tests: unit, integration, end-to-end

Design distributed applications

Skills

Must have

Technically strong energetic individual, who can bring innovation to the group

Team lead experience from 3 years, IT experience from 7 years

Java (Core, JDBC, MT, Collections, I/O), Spring Boot

SQL.PL-SQL on Oracle DB

Container platform based on Kubernetes

REST web services, Kafka, Redis

Unix Commands and shell scripting.

Familiarity with standard data structures and algorithms.

Experience using the following tools

JIRA, Harness/uDeploy, SonarQube, TeamCity, Artifactory, Git (GHE & Bitbucket)

Logical thinking, strong analytical and problem-solving skills; innovate and solutions oriented

Effective time management skills to manage multiple priorities with flexibility on time zones and timelines

Excellent verbal and written communication skills

Bachelor's degree in computer science or equivalent work experience

Nice to have

Master's degree in computer science or equivalent work experience

Experience working with the Scrum methodology

Experience working with a NoSQL database

Experience designing and implementing microservices

Financial services technology experience preferably in reference data

Languages

English: C1 Advanced

Project Description:

The project focuses on developing advanced software solutions for the oil and gas industry, supporting key stages of the reservoir lifecycle, including exploration, development, production, operations, maintenance, and abandonment.
The successful candidate will join the Information Management and Platform Technologies Development team and contribute to the design and development of next-generation software products. The role offers an opportunity to work with modern technologies, apply innovative ideas, and build solutions used in complex energy industry environments.

Responsibilities:

Key Responsibilities/Accountabilities:
- Knowledge of software engineering best practices (including requirements analysis, system design, modularity, version control, testing, documentation, etc.) for productivity, collaboration, quality, and maintainability.
- Knowledge of how a component fits into a larger ecosystem of products and services.
- Understanding of how these different pieces work together, and communicate with them (using library calls, REST APIs, database queries, etc.)
- Know how to build appropriate interfaces for components that others will depend on. Knowledge of basic system design patterns to avoid bottlenecks and let your algorithms scale well with increasing volumes of data.
- Perform research and development tasks.
- Expected to design, code, test, do troubleshooting and document engineering systems applications by following the software development lifecycle.
- Accomplishes engineering and organization mission by completing related results as needed.
- Updates job knowledge by studying state-of-the-art development tools, programming techniques, and computing equipment; participating in educational opportunities; reading professional publications; participating in professional organizations.

Mandatory Skills:

Angular

Java

TypeScript

Mandatory Skills Description:

- Degree in Computer Science, Engineering, or equivalent. Master's preferred
- Software Development Fundamentals
- Strong understanding of Object-Oriented Design and Principles
- 5+ years of professional experience with Java and Angular
- Build & CI/CD: Git Ci/CD, Helm
- Database background: Posgtess
- REST API Express
- Hapi
- Self-motivated
- Problem Solving skills
- Works well within a team
- Excellent communication skills

Nice-to-Have Skills Description:

- Web front-end technologies and tools: HTML5, CSS, SASS, JavaScript, Angular 16+, Angular CLI, Typescript, NPM, and VS Code.
- Web back-end technologies: RESTful APIs using Microservices (NodeJS, C#, C++, Python), Express, JSON, OData, Web Sockets, and Java EE.
- Testing: JEST, Karma/Jasmine, E2E testing with Protractor.
 MAVEN, Jenkins & Ansible, Containerization.
- Cloud: Knowledge in cloud technologies (Azure and Amazon)

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.
- 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.
• Python programming

Languages:

English: B2 Upper Intermediate

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 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

Languages:

English: C2 Proficient

Project Description:

We are looking for a Regular DevOps / Cloud Infrastructure Engineer to support infrastructure automation, environment deployment, and GitOps-based delivery.

Responsibilities:

* Own the Terraform infrastructure - API Gateway routes, Lambda functions, IAM roles, EC2, DynamoDB tables, SQS queues, AWS Workspaces .etc
* Design and maintain Python Lambda handlers that integrate with Active Directory/LDAP, GitLab, JFrog Artifactory, and the AWS SDK, handling KMS-encrypted secrets and SSM parameters.
* Run and troubleshoot the Jenkins deployment pipeline across environments (plan / create / destroy / test).
* Keep integration tests healthy and add coverage for new endpoints.
* Manage secrets and access control - Jenkins credentials, KMS key permissions, API keys stored in SSM.
* Solid Ansible skills for authoring and maintaining idempotent playbooks, roles, and inventories across Linux and Windows hosts.
* Strong Linux administration skills, including shell scripting, package and service management, systemd, networking, and troubleshooting.

Mandatory Skills Description:

* Hands-on experience with AWS or Azure.
* Experience with Terraform and infrastructure-as-code.
* Knowledge of networking: VPC, subnets, routing, security groups, NAT, private endpoints.
* Experience with IAM roles and policies.
* Experience with Jenkins, GitLab CI/CD or Azure DevOps Pipelines.
* Ability to troubleshoot complex cloud deployments.
* Good communication and documentation skills.

Nice-to-Have Skills Description:

* PowerShell for Windows / AD / Workspaces helper scripts.
* JFrog Artifactory REST API - permissions, replication, tokens, storage.
* Windows Server administration, RSAT, and SSM Run Command.
* Bedrock and SageMaker service familiarity.

Languages:

English: B2 Upper Intermediate

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 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:

-Wave planning — plan migration waves based on system dependencies and priorities
-Complexity assessment — evaluate complexity of each workload/job prior to migration
-Workload analysis — analyze existing batch processes, their dependencies, schedules, and SLAs
-Orchestration migration strategy — design the strategy for migrating from Control-M to AWS Step Functions (job mapping, dependencies, triggers)
-Cutover runbook — develop detailed cutover runbooks (steps, rollback points, success criteria)
-Pod coordination — coordinate across multiple teams/pods involved in the migration
-Release governance — manage release processes, ensuring quality and compliance with standards prior to deployment

Mandatory Skills Description:

- Large-scale migration experience — proven track record on enterprise-scale migration projects
- Wave planning — hands-on experience planning waves in multi-system migrations
- Control-M — deep knowledge of Control-M (jobs, schedules, dependencies, calendars)
- AWS Step Functions — hands-on experience designing and building workflows in Step Functions
- Risk assessment — experience identifying and mitigating risks in migration projects
- Data reconciliation — experience validating data/results post-migration (before/after comparison)
- Release management — experience managing releases in an enterprise environment

Nice-to-Have Skills Description:

- Experience with other orchestration tools (Airflow, AWS Glue Workflows)
- AWS certification (Solutions Architect / DevOps Engineer)
- Knowledge of AWS Lambda, EventBridge (commonly used- alongside Step Functions)
- Experience in financial domain

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 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:

  - 2 month project with posibility of extentention

  - 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)

   

• Nice-to-Have Skills Description:

  Experience 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 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)

Nice-to-Have Skills Description:

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:

  - 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

  - 2 month project with posibility of extentention
  - 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

• 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

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