MeGaDev

✅Key Responsibilities

-Design, configure, and test recipes in theDeltaV Distributed Control System (DCS) for pharmaceutical manufacturing processes.

-Ensure recipe design aligns with project requirements, GMP compliance, and site or corporate library standards.

-Support DeltaV–Syncade MES integration by ensuring recipe structures and workflows are compatible and properly linked.

-Apply practical experience with the DeltaV DVI module to support design and troubleshooting.

-Collaborate with process engineers, MES specialists, validation, and QA to ensure recipes meet operational and compliance requirements.

-Participate in design reviews, testing activities, and technical workshops.

-Provide documentation and technical input for validation and quality processes.

✅Required Qualifications

-5–8+ years of pharmaceutical automation experience with DeltaV DCS in GMP environments.

-Experience in DeltaV–Syncade integration is an advantage.

-Hands-on experience with the DVI module in one or more projects.

-Strong understanding of GMP and pharmaceutical manufacturing processes.

-Good communication skills and ability to work in a collaborative, cross-functional environment.

For our partner IT company, a subsidiary of EU automotive enterprise, we're looking for support with IBM Planning Analytics Workspace

Essential Skills and Responsibilities:

• IBM Planning Analytics Workspace (PAW) (backend and frontend)
• Turbo Integrator Processes
• Rules
• MDX
• SQL
• react (optional)

Roles:

• Development (80% backend / 20% frontend) (experience >5 years) in an agile model
• (optional: one architect to speed up knowledge transfers and to shadow the onshore architect)

Tasks:

• backend developments
• interact with other team members in the dev team (agile model)
• open to interact with the customer in english (written)
• consultant soft skills
• financial background benefitial
• perform technical unit testing
• support integration testing / bug fixing
•  

Preferred workload is full time, part time is also possible.

📍 Location: Remote / Europe
🌐 Client: Subsidiary of one of the “Big Four” accounting organizations
🏢 Industry: Professional Services (Audit, Tax, Consulting, Risk & Advisory)

About the Client

You will join the 6th-largest privately owned organization in the United States, part of the Big Four and the largest professional services network in the world in terms of revenue and headcount. With more than 263,900 professionals globally, the company provides audit, tax, consulting, enterprise risk, and financial advisory services worldwide.

About the Project

As a Senior Data Engineer (AI), you will become part of a cross-functional development team building GenAI solutions for digital transformation across enterprise products.

The team is responsible for the design, development, and deployment of innovative enterprise technologies, tools, and standardized processes to support the delivery of tax services. It is a dynamic environment bringing together professionals from tax, technology, change management, and project management backgrounds.

The work involves consulting and execution across initiatives including:

• process and tool development
• implementation of AI-driven solutions
• training development
• engagement management
• tool design & rollout

Project Tech Stack

• Cloud: Azure Cloud
• Architecture: Microservices
• Backend: .NET 8, ASP.NET Core, Python
• Databases: MongoDB, Azure SQL, Vector DBs (Milvus, Postgres, etc.)
• Frontend: Angular 18, Kendo
• Collaboration: GitHub Enterprise with Copilot
• Big Data: Hadoop, MapReduce, Kafka, Hive, Spark, SQL & NoSQL

Requirements

• 6+ years of hands-on experience in software development
• Strong coding skills in SQL and Python, with solid CS fundamentals (data structures & algorithms)
• Practical experience with Hadoop, MapReduce, Kafka, Hive, Spark, SQL & NoSQL warehouses
• Experience with Azure cloud data platform
• Hands-on experience with vector databases (Milvus, Postgres, etc.)
• Knowledge of embedding models and retrieval-augmented generation (RAG)
• Understanding of LLM pipelines, including data preprocessing for GenAI models
• Experience deploying data pipelines for AI/ML workloads (scalability & efficiency)
• Familiarity with model monitoring, feature stores (Feast, Vertex AI), and data versioning
• Experience with CI/CD for ML pipelines (Kubeflow, MLflow, Airflow, SageMaker Pipelines)
• Understanding of real-time streaming for ML model inference (Kafka, Spark Streaming)
• Strong knowledge of Data Warehousing (design, implementation, optimization)
• Knowledge of Data Quality testing, automation & visualization
• Experience with BI tools (PowerBI dashboards & reporting)
• Experience supporting data scientists and complex statistical use cases is highly desirable

Responsibilities

• Design, build, deploy, and maintain mission-critical analytics solutions processing terabytes of data at scale
• Contribute to design, coding, configurations and manage data ingestion, real-time streaming, batch processing, and ETL across multiple storages
• Optimize and tune performance of complex SQL queries and large-scale data flows
• Ensure data reliability, scalability, and efficiency across AI/ML workloads

UK Telecommunication Industry Project
Partnership: Global Consulting Enterprise

We are seeking a team of experienced Data & AI Engineers of different skill levels to join a large-scale project for a UK telecommunication client. The role focuses on experimentation — applying business goals to technical requirements and processes of end-user applications.

Whether the challenge is to increase engagement in iPlayer or Sounds, or to improve recommendations in News or Sport apps, experimentation helps us make the right decisions for our users.

Tools & Skills

• Piano Analytics and plug-in Tag Inspector (for tracking in browser)
• SQL IDEs (DataGrip / Workbench / VS Code / AWS Console)
• Optimizely
• GitHub
• Alation or similar (data dictionary)
• Jira and Confluence

Responsibilities

• Collaborate with product and analytics teams to identify and solve problems through experimentation.
• Calculate and communicate baseline conversion rates, sample sizes, MDE, confidence levels, and statistical power.
• Monitor and validate data quality in ongoing experiments.
• Analyse experiment performance, visualise findings clearly, and present results to product teams and stakeholders.
• Conduct deep-dive analyses to understand performance drivers and propose next iterations.
• Work with the platforms team to continuously improve experimentation capabilities.

Must-Have Qualifications

• Strong SQL skills and experience working with very large, complex datasets.
• Proficiency in statistical analysis and tools (Excel, R, Python).
• Knowledge of statistical, quantitative, and qualitative analytical techniques, including frequentist statistics.
• Experience designing experiments (A/B testing, RCTs) and applying experimental design principles.
• Strong communication skills (written and verbal), with ability to explain complex findings to non-technical audiences.
• High attention to detail and accuracy in data analysis and experiment design.
• Strong problem-solving mindset with innovative approach to complex challenges.
• Experience in digital analytics (reading tracking specs, investigating tracking issues).

Desirable

• Hands-on experience running A/B tests.
• Working knowledge of data visualisation tools (e.g. Tableau).
• Python for analytics and automation.

Level-Specific Requirements

Level 3 (Junior–Mid):

• Proficient in SQL and Excel.
• Familiar with Optimizely, Piano Analytics, Tag Inspector.
• Exposure to Python or R for basic statistical analysis.
• Basic understanding of experimental design and statistics.
• Experience: 1–2 years in a data/analytics role. Works under general direction, escalates complex issues.

Level 4 (Mid–Senior):

• Advanced SQL, experienced with large datasets.
• Proficient in Python or R for statistical modelling.
• Strong knowledge of frequentist statistics & experimental design.
• Skilled in Optimizely, Tableau, and data dictionaries (e.g. Alation).
• Experience: 3–5 years in experimentation or analytics roles. Works with minimal supervision and influences product decisions.

Level 5 (Senior–Lead):

• Expert in SQL, Python/R, and statistical methodologies.
• Deep knowledge of experimentation platforms & digital analytics.
• Strong communication and stakeholder management skills.
• Experience with data visualisation & storytelling.
• Experience: 5+ years in analytics or experimentation leadership roles. Operates with broad autonomy and strategic influence.

Working from home and minimum 2 days per month working from office + if team decides to set some days from the office or some important meetings/client visits, when attendance in office is required.

UK Telecommunication Industry Project
Partnership: Global Consulting Enterprise

We are seeking an experienced Senior Data Engineer (5+ years) to support a time-critical data infrastructure project. The primary goal is to conduct a detailed comparative analysis between two behavioural data ingestion pipelines — DF2 and BAG — and provide analysis and design support for planning a future unified pipeline.

The focus of this role is on ensuring accurate, consistent, and performant data outputs, preserving data integrity and business continuity.

Key Responsibilities

Comparative Analysis & Design Support

• Develop an in-depth understanding of both existing pipelines (DF2 and BAG), including:
  • Data flow architecture
  • Transformation logic
  • Output structures and downstream dependencies
• Conduct a structured analysis of new data source(s), focusing on:
  • Data schema and structure
  • Data quality attributes
  • Mapping requirements and potential transformation logic
• Document key comparative insights, including:
  • Schema equivalencies and differences
  • Data transformation similarities and gaps
  • Quality risks and mitigation strategies
  • Performance benchmarks and technical considerations for the new pipeline
• Provide documentation and support to the design team for a future unified pipeline that ensures functional equivalency, accuracy, and scalability.

Must-Have Qualifications

• Strong experience in data pipeline analysis, reverse engineering, and documentation.
• Deep understanding of data transformation logic, ETL workflows, and behavioural data ingestion pipelines.
• Proficient in SQL and at least one programming/scripting language (e.g., Python, Scala).
• Proven ability to analyse and map complex data schemas.
• Experience working with large datasets and cloud-based platforms (AWS, Redshift, S3, Python, Spark).
• Excellent documentation and communication skills.

• Ability to work independently and deliver under tight timelines.

  Desirable

• Prior experience with behavioural analytics pipelines.
• Familiarity with data observability, profiling, and quality assessment tools.
• Experience in data infrastructure design or system migration projects.
• Experience working with Agile teams and cross-functional stakeholders.

UK Telecommunication Industry Project
Partnership: Global Consulting Enterprise
Domain: Digital Transformation, Developer Experience & Tooling

About the Role

As part of a large-scale digital transformation program for a UK telecommunications client, we are seeking experienced Data/Product Analytics Engineers.

These roles sit within the Developer Experience & Tooling team, which is responsible for building high-quality internal platforms, tooling, and analytics solutions to improve developer productivity and enable data-driven product decision-making.

The mission is to establish a trusted analytics foundation — ensuring the right data is captured, transformed, and made accessible through standardized models, dashboards, and experimentation frameworks.

Key Responsibilities

• Design, build, and maintain analytics pipelines on cloud platforms (AWS, GCP, or Azure).
• Write complex SQL queries for data extraction, transformation, and reporting.
• Develop Python-based data processing scripts, automation, and analytics models.
• Collaborate with product teams to define metrics, KPIs, and data requirements.
• Support experimentation frameworks (e.g., A/B testing) with statistical analysis.
• Ensure data quality, consistency, and governance across multiple sources.
• Build dashboards and reports to provide actionable insights for stakeholders.
• Partner with DevOps and platform engineers to integrate analytics into developer tooling.

Must-Have Skills & Experience

• Strong proficiency in SQL for large and complex datasets.
• Solid Python skills for data wrangling, automation, and statistical analysis.
• Hands-on experience with cloud platforms (AWS preferred; GCP or Azure also considered).
• Familiarity with data pipelines (ETL/ELT concepts).
• Experience with product analytics, metrics definition, and experimentation.
• Strong problem-solving skills and the ability to communicate technical insights clearly.

Desirable

• Experience with cloud-native data services (AWS Redshift, Athena, BigQuery, Snowflake).
• Knowledge of experimentation platforms (Optimizely, or custom A/B testing frameworks).
• Familiarity with visualization tools (Tableau, Looker, PowerBI).
• Experience in developer experience, platform engineering, or digital product teams.
• Exposure to data observability and monitoring tools.

Partnership: Global Consulting Enterprise

About the Role

We are seeking a Senior Mobile Developer to join our team and drive the further development of our native iOS and Android apps. In this role, you will have a pioneering position, contributing to key technological decisions and working on diverse multidisciplinary projects.

Your primary focus will be on the development and maintenance of our iOS app, while also contributing to Android projects when required.

What You Will Do

• Use your expertise in Swift and SwiftUI to deliver seamless user experiences and flawless apps.
• Collaborate closely with backend and other technical teams to ensure integration and alignment.
• Make technological decisions, while supporting and coaching colleagues.
• Contribute to the architecture, maintenance, and innovation of mobile applications.
• Write test-driven, clean, and high-quality code.

What Makes You the Ideal Candidate?

We are looking for an experienced and motivated mobile developer who is technically strong, a team player, and user-focused.

You bring:

• 5+ years of experience in mobile app development with expertise in Swift and SwiftUI.
• Solid knowledge of Kotlin and Android, with the ability to work independently.
• Hands-on experience working with APIs, SDKs, and test-driven development.
• Ability to design and deliver high-quality solutions within multidisciplinary teams.
• A proactive attitude and drive to continuously improve solutions technically and from a business perspective.

• (Bonus) Experience in mobile web front-end development.

  Skills Required

• 5+ years of experience in mobile app development (iOS & Android).
• Expertise in Swift and SwiftUI.
• Knowledge of Kotlin and Android development.
• Experience with APIs, SDKs, and test-driven development.

Senior Software Engineer (Scala) to join the Information Syndication team. You will play a key role in maintaining and evolving our high-performance backend systems, supporting a major content delivery platform. You will contribute to technical decision-making, work closely with cross-functional teams, and mentor junior developers while adopting modern Scala libraries and AWS services.

Responsibilities

 Design, build, and maintain reliable, scalable backend systems in Scala.

 Contribute to architectural discussions and lead technical decision-making.

 Write clean, maintainable, and well-tested code.

 Collaborate with product managers, QA engineers, and Node.js developers to deliver

high-quality features.

 Optimize system performance and reliability using AWS cloud services.

 Support the full software development lifecycle—from concept to deployment and

monitoring.

 Review code, mentor team members, and promote best practices.

 Work closely with the team to identify and resolve production and scalability issues.

Must Have

 5+ years of professional experience in software engineering, with 3+ years using Scala.

 Strong understanding of functional programming and concurrent systems.

 Hands-on experience with HTTP4S, Cats Effect, or Finatra + Finagle.

 Experience designing and building RESTful APIs and microservices.

 Proficiency in working with the JVM, including performance tuning and memory

management.

 Experience with SQL and NoSQL databases (e.g., PostgreSQL, DynamoDB).

 Proficient with Git, CI/CD pipelines, and modern DevOps practices.

 Strong unit testing and TDD skills using ScalaTest, Specs2, or similar tools.

 Excellent communication and collaboration skills.

Desirable

 Working knowledge of AWS services, especially EC2, DynamoDB, RDS, and API Gateway.

 Experience with CloudWatch for monitoring and alerting.

 Knowledge of Node.js/TypeScript, especially familiarity with FABL (our business logic

layer).

 Familiarity with Agile methodologies and working in cross-functional squads.

General description: Good experience in designing robust APIs using OpenApi and having strong sense of serverless architecture to help deliver next generation cloud native system.

Requirements: Key/primary skills: Java, Python, Spring Boot and other Frameworks, Cloud Platforms (inc. AWS), JUnit5, Lambda, Containers Secondary skills: Mockito, Agile, No SQL Databases

• Create a template service that talks to database (MongoDd) – note: we already have templates for FE, JCS, FCS, lambdas and TMF Entity.

• Make the code production ready for a sample FE, JCS, FCS, lambdas and TMF Entity. Production readiness means:

o Security vulnerabilities fixed

o Observability, troubleshooting set up

o Data logging compliance followed

o Tests automated (as much as possible)

o Start on PaCE/performance tests

• Mentor current devs to understand the above NFRs and grow in their roles

In partnership with one of the global consulting enterprises, on a large-scale digital program for a UK Telecommunication industry client, we are seeking talented iOS Software Engineer to join the World Service App team. These roles focus on delivering high-quality, accessible, and scalable native mobile applications used by millions of users worldwide.

As part of the World Service App team, you will work on building and evolving a global-scale mobile application that delivers a seamless user experience across platforms. The focus is on modern native development practices, leveraging SwiftUI and TCA on iOS. You’ll collaborate closely with designers, testers, and product managers to ensure consistent design system implementation, strong accessibility standards, and smooth integration with backend services.

Key Responsibilities

Core Responsibilities:

• Develop, test, and maintain native mobile app features with high code quality and performance.
• Collaborate with UX designers to implement design system components consistently across platforms.
• Ensure accessibility standards are integrated into all features.
• Work closely with backend teams to integrate APIs and data services.
• Contribute to technical discussions, code reviews, and knowledge sharing within the team.
• Troubleshoot, debug, and optimize mobile app performance.
• Support CI/CD processes for mobile app delivery.

iOS Engineer Focus:

• Implement new features using SwiftUI and The Composable Architecture (TCA).
• Maintain and evolve existing Swift-based codebases as part of the migration path.
• Apply Apple’s Human Interface Guidelines to deliver platform-consistent experiences.

Must-Have Skills & Experience

• Proven experience in native mobile app development.
• Strong knowledge of mobile app architecture, lifecycle, and best practices.
• Experience working with RESTful APIs and JSON data handling.
• Familiarity with design systems and accessibility guidelines.
• Strong problem-solving and debugging skills.
• Comfortable working in Agile, cross-functional teams.
• Hands-on experience with SwiftUI.
• Experience with The Composable Architecture (TCA) or other unidirectional data flow frameworks.
• Good understanding of Swift and UIKit interoperability.

Desirable

• Experience with multi-lingual and global audience applications.
• Familiarity with automated testing frameworks (XCTest, Espresso, JUnit).
• Exposure to CI/CD for mobile apps (Fastlane, Bitrise, GitHub Actions).
• Knowledge of performance profiling and optimization techniques.
• Contribution to open-source mobile libraries or frameworks.

In partnership with one of the global consulting enterprises, on the project for a leading publisher of news, opinion, culture, inspiration and entertainment. we're seeking for an experienced Django/Python CMS Developer.

Role Summary: The Django/Python CMS Developer is responsible for maintaining, updating, and optimizing a CMS-based application built on the Django framework. This role involves reviewing and improving the existing codebase, addressing security and performance gaps, implementing updates, refactoring deprecated code, and ensuring the long-term stability and scalability of the application.

Key Responsibilities:

- Codebase Review & Gap Assessment: Analyze existing application code to identify functional, performance, and security gaps.

- Package & Security Management: Review installed packages, identify required updates, replace deprecated security libraries, and ensure compliance with latest security standards.

- Application Updates: Implement software updates, security patches, and version upgrades for Django, Python, and related dependencies. - - - Refactoring & Bug Fixes: Refactor or replace deprecated functions/libraries and resolve defects in existing features.

- Maintenance & Support: Provide Level 2/3 application maintenance, troubleshoot complex issues, and coordinate fixes in production environments.

- Integration & Tooling: Integrate new libraries or tools as required to enhance CMS functionality and maintain compatibility.

- JavaScript & Front-End Support: Collaborate with front-end resources to update and maintain JavaScript components where required. --- Documentation & Version Control: Maintain up-to-date technical documentation, change logs, and versioning records.

Required Skills & Experience:

- Strong proficiency in Python and Django framework.

- Experience with CMS platforms built on Django (e.g., Wagtail, Django CMS).

- Solid understanding of security practices, including patching and updating packages.

- Familiarity with JavaScript, HTML, and CSS for front-end updates.

- Experience with version control (Git) and documentation best practices.

- Problem-solving skills for L2/L3 support in production environments.

Nice-to-have Skills: Experience with CI/CD tools (GitHub Actions, GitLab CI, or similar). Knowledge of cloud environments (AWS, Azure, GCP). Familiarity with application performance monitoring tools.

In partnership with one of the global consulting enterprises, on a large-scale digital program for a UK Telecommunication industry client, we are seeking a Product Manager to join the Partner Integration Hub team. This team is building a next-generation platform to streamline how the client connects with external partners, enabling secure, scalable, and efficient data and service exchange.

Overview

As a Product Manager in the Partner Integration Hub team, you will own the vision, roadmap, and execution for a core platform that underpins partner collaboration. You will work closely with engineers, architects, and business stakeholders to deliver integration capabilities that are secure, performant, and reusable at scale.

The role requires strong product management expertise, a solid understanding of agile delivery practices, and the ability to shape and communicate a platform strategy that balances technical capabilities with partner and business needs.

Key Responsibilities

• Define and own the product vision and roadmap for the Partner Integration Hub.
• Translate business and partner requirements into clear, actionable backlog items.
• Prioritize features and enhancements based on business value, scalability, and technical feasibility.
• Collaborate with engineering, UX, and architecture teams to deliver high-quality, secure, and scalable solutions.
• Drive agile ceremonies (backlog refinement, sprint planning, reviews) and ensure continuous delivery practices.
• Monitor product performance, adoption, and partner satisfaction, using insights to inform roadmap decisions.
• Define and track KPIs to measure platform impact and success.
• Communicate product strategy, roadmap, and progress to stakeholders at multiple levels.
• Champion platform thinking—ensuring integration solutions are designed for reuse and long-term scalability.

Must-Have Skills & Experience

• Proven experience as a Product Manager for technical platforms or integration services.
• Strong understanding of agile practices (Scrum, Kanban, scaled agile environments).
• Experience with platform strategy and lifecycle management, ideally in integration or API products.
• Excellent stakeholder management and communication skills.
• Ability to balance short-term delivery with long-term strategic goals.
• Strong analytical mindset with ability to define KPIs and measure product success.
• Experience working with cross-functional delivery teams (engineering, UX, architecture, operations).

Desirable

• Background in telecoms, large-scale integrations, or B2B platforms.
• Familiarity with API-first product design and developer experience considerations.
• Understanding of cloud-native architectures and modern software delivery (AWS, serverless, microservices).
• Experience working with partner-facing platforms or ecosystems.
• Prior exposure to DevEx / integration hubs / middleware platforms as products.

SAP ABAP Developer Team (Lead / Senior / Mid / Junior)

Client: International SAP Industry Solution specialist
Sectors: Circular Economy, Energy, Utilities
Program: Long-term initiative to develop a new product version aligned with modern SAP Cloud standards.

About the Project

Our client is launching a strategic program to build the next generation of its product suite, leveraging SAP S/4HANA Private Cloud (RISE with SAP) and SAP S/4HANA Public Cloud (GROW with SAP). The scope includes:

• Development of new functionalities for SAP S/4HANA Cloud.
• Migration of existing modules to ABAP on Cloud.
• Use of RAP (RESTful Application Programming Model) and SAP Fiori to deliver scalable, user-centric solutions.
• Long-term collaboration with external experts integrated into the client’s product development organization.

Open Roles

We are assembling a dedicated ABAP Development Team:

• 1 Lead ABAP Developer
• 1 Senior ABAP Developer
• 1 Mid-level ABAP Developer
• 1 Junior ABAP Developer

The team will work in close collaboration with the Product Owner and internal teams, following a SCRUM-like methodology to deliver high-quality SAP modules and achieve product milestones.

Client: One of the world’s largest mobile network operators
Engagement: Contract / Long-term assignment

About the Role

We are seeking an experienced Content Designer to strengthen the client’s analytics team. The role will focus on delivering high-quality analytics implementations and actionable insights while bringing structure and efficiency to current processes.

The client is experiencing challenges with documentation consistency, alignment of processes, and a growing backlog of analytics requests. This position is ideal for someone who thrives in independent work, can introduce structure, and drive improvements in workflow efficiency.

Responsibilities

• Support the analytics team in delivering accurate and scalable implementations.
• Bring structure and consistency to analytics workflows and documentation.
• Collaborate with developers and product teams to translate requirements into clear tracking specifications.
• Manage and reduce backlog of analytics requests by prioritizing and delivering effectively.
• Apply QA methodologies and tools to ensure the quality of analytics implementations.
• Conduct deep-dive analysis using Adobe Analytics and other tools, generating insights and business recommendations.
• Leverage Contentsquare (or similar experience analytics platforms) to analyze user behavior and improve digital performance.
• Act as a subject-matter expert, working autonomously to support internal teams and stakeholders.

Requirements

• Proven, hands-on experience with Adobe Analytics (workspaces, segmentation, calculated metrics, reporting, etc.).
• Familiarity with Contentsquare or other user experience analytics platforms.
• Strong expertise in creating and maintaining tracking specifications.
• Experience with QA tools and methodologies for digital analytics.
• Analytical mindset with ability to translate data into clear insights and actionable recommendations.
• Comfortable working independently, with strong organizational and prioritization skills.
• Excellent communication skills in English (written and spoken).

Senior Data Engineer (Scala / AWS / Streaming)
Engagement: Full-time / Long-term contract
Domain: Big Data, Real-Time Streaming, Cloud Infrastructure

About the Role

We are seeking a highly skilled Data Engineer with strong expertise in Scala, AWS, Python, and DevOps practices. You will be responsible for designing, building, and maintaining highly available and scalable streaming data solutions in a modern cloud environment.

This role requires a DevOps mindset, ownership mentality (“You Build It, You Run It”), and a strong collaborative approach to working with analysts, data scientists, and engineers across the organization.

Responsibilities

• Deliver reliable and scalable streaming solutions for millions of real-time interactions.
• Design, implement, and maintain cloud-based data pipelines (batch and streaming) and the supporting infrastructure.
• Work closely with analysts, data scientists, and developers across all departments to ensure data solutions meet business needs.
• Build and maintain a robust real-time customer profile system, enabling personalized recommendations on digital platforms.
• Co-develop and refine streaming architectures from design through deployment and operation.
• Apply Infrastructure as Code (IaC) and CI/CD best practices for efficient and automated delivery.
• Actively contribute to the data engineering guild and communities of practice.
• Support efforts to harmonize the organization’s data landscape across countries, departments, and acquisitions.

Requirements

• Strong programming experience with Scala (primary) and proficiency in Python or shell scripting.
• Hands-on experience with AWS services (CodePipeline, DevOps toolchain, streaming/analytics services).
• Track record of implementing highly available and scalable big data solutions.
• Proficiency in streaming data workflows and real-time processing architectures.
• Strong knowledge of Infrastructure as Code and CI/CD pipelines.
• Solid understanding of modern software engineering best practices and Domain-Driven Design.
• DevOps mindset, with a passion for automation, monitoring, and ownership.
• Collaborative attitude — experience with pair programming and cross-functional teamwork.
• AWS Certification (minimum: AWS Certified Associate) or willingness to achieve within 6 months.