MeGaDev

We are seeking a senior IAM Role Modeler Consultant to serve as a bridge between business intent and technical enforcement for a major banking transformation. In this high-impact role, you will lead the charge in designing a secure, scalable, and audit-ready Role-Based Access Control (RBAC) framework. The client is from enterprise Banking industry.

Your goal is to transform complex business functions into standardized access roles that satisfy the strict demands of a regulated financial environment while adhering to the principles of Least Privilege and Segregation of Duties (SoD).

What You’ll Do

• Architect Access: Design and maintain robust RBAC models across on-premises, cloud (Entra ID), and hybrid landscapes.
• Role & Privilege Mining: Analyze existing access patterns to rationalize and consolidate them into a clean, target state.
• Stakeholder Facilitation: Lead workshops with Business Owners, Security Teams, and Engineers to map real-world job functions to technical entitlements.
• Risk & Compliance: Define SoD rules, identify "toxic combinations," and classify role risks to ensure the bank remains audit-ready.
• Documentation & Governance: Create defensible role catalogues and ownership records that provide 100% traceability from business requirement to system permission.

Your Toolkit

The Essentials:

• 5+ years in IAM with a deep focus on access governance and RBAC.
• 3+ years of hands-on Role Modeling, including mapping business roles to technical entitlements.
• Analytical Expertise: Proven ability in role/privilege mining and data rationalization.
• Regulated Sector Experience: A track record of delivering access models within Banking or similarly controlled industries.
• Technical Proficiency: Solid grasp of Active Directory, Microsoft Entra ID, and Cloud IAM.
• Communication: Fluent English and the ability to challenge the status quo to bring structure to "messy" entitlement landscapes.

The "Bonus" Skills:

• Experience with IGA or PAM platforms.
• Familiarity with ECB regulations and GDPR requirements.
• Knowledge of Zero Trust architecture and Joiner-Mover-Leaver (JML) automation.
• Background in large-scale enterprise transformation or management consulting.

The Mindset

We are looking for a consultant who is willing to:

• Take Ownership: Act as the primary authority for RBAC within a visible, strategic programme.
• Be Pragmatic: Balance agile execution with the structured documentation required by a Tier-1 bank.
• Travel Locally: Join the team for occasional in-person strategic workshops across the Baltics (travel covered).
• Bridge the Gap: Translate a "Business Activity" into a "Technical Role" that is both compliant and fit for automation.

We are looking for a Senior Android Software Engineer to spearhead feature development and architectural maintenance for a flagship enterprise banking application. This isn't just about shipping code; it’s about navigating the complexities of a high-security, high-concurrency environment where stability is as critical as innovation.

As a senior consultant, you will be the technical anchor for the mobile roadmap, translating abstract business goals into robust, high-performance Android features.

Technical Stack & Requirements

The Core (7–10 Years Experience):

• Android Mastery: Extensive experience building and scaling enterprise-grade applications using Kotlin and Java.
• Engineering Fundamentals: Deep-rooted understanding of clean architecture, design patterns, and SOLID principles.

The Toolkit (5+ Years Experience):

• Modern Android Stack: Expert-level command of Jetpack Compose, Dagger2, Android SDK, and Google Support Libraries.
• Reactive & Asynchronous: Extensive hands-on experience with RxJava, complex threading, and concurrency management.
• Data & Integration: Proven track record of integrating REST and GraphQL APIs into seamless mobile experiences.
• Version Control: Advanced Git proficiency within a collaborative team environment.

The Polish:

• UI/UX: 3+ years applying Material Design guidelines to create intuitive, accessible interfaces.
• Proven Delivery: At least one major application successfully published and maintained on the Google Play Store.

Your Impact

• Architectural Ownership: Take full responsibility for the mobile roadmap, ensuring new features coexist perfectly with existing legacy systems.
• Consultative Leadership: Act as a technical mentor, solving ambiguous problems and making high-stakes trade-offs that balance speed with system health.
• Performance Optimization: Dive deep into reactive flows and threading to ensure the app remains responsive under heavy enterprise loads.
• Engineering Hygiene: Maintain rigorous standards for code quality, documentation, and API integration.

We are seeking a seasoned Business Analyst to join a high-priority Regulatory Reporting initiative for a premier enterprise banking client. This is a strategic consulting role for a mature professional capable of navigating the intersection of business logic, complex data structures, and rigorous reporting standards.

In this role, you will be the bridge between regulatory demands and technical execution, ensuring that our client meets its obligations for AnaCredit, COREP, FINREP, LCR, and local Baltic reporting requirements.

Core Responsibilities

As a lead consultant on this project, you will:

• Drive Requirements Engineering: Elicit and document functional, non-functional, and data requirements for large-scale reporting initiatives.
• Bridge Business & Tech: Translate complex regulatory mandates into actionable technical specifications for development and testing teams.
• Data Analysis & Mapping: Analyze datasets to define validation logic, sourcing rules, and data quality standards.
• Stakeholder Orchestration: Facilitate alignment between Data Stewards, Dev Ops, and Business Delivery teams to ensure seamless end-to-end reporting.
• Strategic Oversight: Maintain an overarching view of the data domain to ensure consistency across reporting outputs and supervisory expectations.

Candidate Profile (Must-Haves)

Experience & Expertise:

• Analytic Foundation: 3+ years in Finance, BI, or IT, with at least 2 years focused specifically on Business Analysis and process modeling.
• Regulatory Domain Knowledge: Deep understanding of banking products and hands-on experience in one or more of the following: AnaCredit, COREP, FINREP, LCR, or local Baltic regulatory frameworks.
• Data Literacy: 2+ years working with data-centric projects (Data Warehouse concepts, data mapping, and technical metadata).
• Technical Toolkit: Proficiency in SQL for data interrogation, plus expert use of Jira, Confluence, and MS Office.

Soft Skills & Education:

• Analytical Mindset: Ability to distill complex datasets into clear, structured insights.
• Communication: Fluent English (written/verbal) with the ability to "challenge" requirements and advocate for quality.
• Education: Bachelor’s or Master’s degree in Finance, Economics, Mathematics, IT, or Risk Management.

We are seeking an experienced CMDB Discovery Software Engineer to join our consulting team for a high-visibility initiative with a major enterprise banking client.

Following a strategic migration from ServiceNow to Jira, the client is now optimizing their configuration management landscape. You will be the technical lead focused on automating and enriching Jira Assets using Lansweeper SaaS and other enterprise data sources.

The Role

This is a remote-first consulting assignment requiring occasional quarterly travel to Riga, Tallinn, or Vilnius. You will join a lean, expert team of 4–5 specialists to build a reliable, high-integrity "Golden Record" for the client’s enterprise assets.

Core Objectives:

• Lansweeper Optimization: Mature the configuration of Lansweeper SaaS to improve discovery coverage and data quality.
• Jira Assets Mastery: Design and manage object schemas, attributes, and complex import configurations within Jira Assets (formerly Insight).
• Data Reconciliation: Build logic to merge data from Active Directory, Intune, and cloud inventories, resolving conflicts and deduplicating records.

Must-Haves

CMDB & Data Modeling (4+ Years)

• Deep expertise in enterprise CMDB environments and configuration management.
• Strong grip on CI classes, relationship mapping, lifecycle models, and ownership structures.

Jira Assets Expertise (3+ Years)

• Hands-on experience with Jira Assets (Insight): object schemas, types, and automated import configurations.

Discovery & Lansweeper (3+ Years)

• Advanced proficiency with Lansweeper SaaS.
• Proven ability to configure network scanning, credentials, and scan targets.
• Skill in reducing "false positives" and improving hardware/software inventory consistency.

Integration & Reconciliation (3+ Years)

• Experience reconciling multiple sources (e.g., AD/Azure AD, Intune, MECM, Virtualization/Cloud inventories).
• Practical knowledge of matching rules, unique keys, and "Golden Record" design.

The Bonus List

• Industry: Experience in Enterprise Banking or highly regulated sectors.
• Project History: Background in CMDB migrations (specifically ServiceNow to Jira) or post-migration stabilization.
• Automation: Experience automating CMDB enrichment or security platform integrations (e.g., QRadar).
• Consulting Mindset: Ability to balance "in-the-weeds" execution with high-level pragmatic solution design.

We are seeking a Senior Kafka Software Engineer (Competence Level B) to join our technical team. This is a high-impact, hands-on role for a mature consultant who can navigate the complexities of event-driven architectures while ensuring the stability of our mission-critical messaging platform.

We are looking for a practitioner who understands that "platform stability" is a result of both proactive administration and expert troubleshooting.

Key Responsibilities

• Platform Reliability: Maintain and monitor the Kafka platform to ensure peak performance and 24/7 reliability.
• Administration: Handle core Kafka tasks including topic management, advanced configurations, and granular access control.
• Expert Support: Provide 2nd and 3rd-level support to development teams, acting as the final point of escalation for complex incidents.
• Troubleshooting: Rapidly diagnose and resolve performance bottlenecks, message flow interruptions, and cluster health issues.
• Advisory: Act as a consultant to internal users, guiding them on Kafka best practices, schema evolution, and optimal configurations.
• Documentation: Maintain high-quality technical documentation for platform architecture and standard operating procedures (SOPs).

Required Skillset & Profile

• Confluent Kafka Mastery: Must have deep, hands-on experience specifically with the Confluent distribution.
• Architectural Fluency: Deep understanding of event-driven and streaming architectures (Pub/Sub, Event Sourcing, KSQL, etc.).
• Problem Solver: "Consulting-level" troubleshooting skills—you don't just find the bug; you understand the systemic impact.
• Communication: Ability to guide and lead others, translating complex technical hurdles into actionable advice for developers and stakeholders.
• You should have 4–6 years of specific experience in this area and the ability to solve complex architectural problems.

We are seeking a Python Developer Consultant to join a high-impact enterprise banking project through our IT services consulting firm.

This role is designed for a technically sophisticated professional who thrives in a serious, high-expectation environment. You will help drive a critical migration enablement project, decommissioning legacy middleware systems by rebuilding functionality into modern, high-performance Python services on Kubernetes.
What You Will Do

• Architect & Build: Design and develop robust, production-grade REST APIs using FastAPI within a modern backend ecosystem.
• Legacy Transformation: Enable the fast-track migration of legacy applications by splitting monoliths into scalable Python services.
• Innovation: Leverage AI-assisted development as a productivity tool to accelerate delivery milestones.
• Quality & Security: Implement clean architecture, solid testing practices (pytest), and modern security protocols (OAuth 2.0/JWT).
• Collaboration: Work within an "Agile-minded" environment, taking ownership of backend services that demand high reliability and maintainability.

Must-Have Skills

• Python Expertise: 5+ years of commercial Python development experience.
• API Development: 4+ years building modern REST APIs, with at least 2+ years of deep, hands-on FastAPI experience.
• Performance Patterns: Proven experience with asynchronous programming and high-performance backend design.
• Data & State: Solid understanding of data modeling, RDBMS/NoSQL, ORMs, and caching solutions like Redis.
• Integration: Practical knowledge of Pub/Sub and streaming-based communication patterns.
• Security: Strong grasp of modern authentication/authorization (OAuth 2.0, JWT).
• Testing: Rigorous approach to automated testing, preferably using pytest.

Bonus Skills

• Experience with Flask.
• Previous experience in large-scale enterprise/banking environments where performance and security are paramount.
• Experience or interest in AI-assisted coding tools to optimize workflow.

Your mission is very practical: inspect real Oracle data structures, uncover retention gaps, identify personal data fields and triggers, and help shape retention rules + cleanup/automation approaches that stand up to compliance expectations. You'll also bring AI-assisted ways of working to accelerate large-scale analysis and classification. 

MUST-HAVE SKILLS

• 10-15 years of consulting-level expertise with Oracle Database technologies ​​​​(senior SME level).
• 10+ years of hands-on experience analyzing Oracle database structures: schemas, metadata, object relationships, dependencies.
• Strong practical ability to perform inspections, document dependencies, and interpret object relationships in complex Oracle environments.
• Confident usage of Oracle SQL Developer (or similar Oracle analysis utilities) for deep-dive structural and metadata analysis.
• 3-5+ years applying AI-assisted practices to accelerate data analysis (e.g., faster scanning, pattern identification, data classification in database inspection workflows).
• Solid understanding of GDPR data retention requirements, including the principles of data minimization, purpose limitation, storage limitation, and compliance reporting - and the ability to translate them into technical retention logic and data lifecycle structures in enterprise data environments (5-10+ years expected at senior level).
• A strong, structured approach to identifying high-risk datasets, retention triggers, and retention-related gapsin large-scale database landscapes.
• A mindset for spotting automation opportunities in cleanup and retention enforcement workflows (especially when scale gets painful).

ARE YOU WILLING TO...

• Get hands-on quickly: analyze real Oracle structures and metadata, not just talk about them.
• Work in a high-trust senior consultant mode: clear documentation, crisp recommendations, and practical guidance that teams can implement.
• Be ready and committed for regular weekly client onsite office visits in Tallinn and collaborate closely with internal teams.
• Drive outcomes in a complex enterprise setting:
• Identify personal data fields, retention triggers, and high-risk datasets
• Recommend retention rules, cleanup approaches, and automation opportunities
• Support deployment of "Tidy"-aligned retention logic / cleanup workflows
• Bring AI-enabled efficiency into large-scale analysis tasks

We are looking for a Senior Business Analyst who thrives at the intersection of regulatory compliance, data analysis, and technical implementation. You will act as the vital link between Baltic business stakeholders and our development squads, ensuring that regulatory requirements are translated into robust, high-integrity financial solutions.
Your Impact

• End-to-End Ownership: Lead the full analysis lifecycle, from initial regulatory investigation to final solution validation.
• Stakeholder Synthesis: Collaborate with business counterparts across Estonia, Latvia, and Lithuania to transform complex regulations into actionable technical specifications.
• Data-Driven Validation: Utilize SQL to interrogate data models, ensuring all deliverables meet rigorous "regulatory-ready" standards.
• Agile Collaboration: Work within a high-performing team of 12–14 (Developers, BAs, Scrum Master, and APO) to deliver mission-critical reporting.

What You Bring

• Experience: 5+ years in Requirements Management and 4+ years in Regulatory Reporting within the Financial Sector.
• Domain Expertise: Deep understanding of banking products (Loans, Leasing, Investments) and financial statements (Balance Sheets, Income Statements).
• Technical Proficiency: 4+ years of hands-on experience with SQL and data modeling to support requirement discovery.

• Regulatory Insight: Proven ability to interpret complex legal/regulatory text and translate it into practical IT requirements.

  Location: Current residency in Estonia, Latvia, or Lithuania is a mandatory requirement.

In a partnership with a leading Spanish consulting partner, we are seeking for a Senior SAP SD Consultant. You will be responsible for mapping complex sales processes into SAP S/4HANA, ensuring seamless integration with Procurement (MM) and Finance (FI) while working directly with the client's internal teams in Barcelona.

Key Responsibilities

• Process Mapping: Analyze "As-Is" sales and distribution processes and design "To-Be" solutions within S/4HANA.
• On-site Configuration: Perform hands-on customizing of the SD module, including pricing procedures, credit management, billing, and shipping.
• Localization: Manage specific Spanish legal requirements (SII - Suministro Inmediato de Información, etc.) if applicable to the client's domestic operations.
• Legacy Migration: Lead data cleansing and migration activities from ECC 6.0 or non-SAP systems to the new environment.
• User Training & UAT: Conduct on-site User Acceptance Testing (UAT) and provide "train-the-trainer" sessions for the client's key users.
• Post-Go-Live Support: Provide immediate "floor support" during the stabilization phase of the project.

Technical & Professional Requirements

• Experience: +5 years of functional experience in SAP SD. At least one full lifecycle implementation of S/4HANA is mandatory for this project duration.
• Technical Depth: * Advanced knowledge of Pricing (VOFM), Output Determination, and ATP (Available to Promise).
• Strong understanding of Logistics Execution (LE).
• Experience with EDI/iDocs for automated customer orders.

In a partnership with a leading Spanish consulting partner, we are seeking for a Senior SAP SuccessFactors Consultant. As a Senior Consultant, you will lead the functional design, configuration, and implementation of SAP SuccessFactors modules for international clients. You will act as the bridge between business requirements and technical execution, ensuring the solution is scalable and aligned with SAP Best Practices.

Key Responsibilities

• Project Leadership: Lead end-to-end implementation cycles (Discovery, Design, Configuration, Testing, and Go-Live) for one or more SSFF modules.
• Functional Design: Facilitate workshops to gather business requirements and translate them into functional specifications and workbooks.
• Configuration & Integration: Perform hands-on configuration of the SuccessFactors suite. A major focus is often placed on Employee Central (EC) and integrations using Business Integration Builder (BIB) or Point-to-Point (PTP).
• Data Migration: Oversee or execute data mapping and migration from legacy systems (SAP HCM or third-party) to SuccessFactors.
• Support & Optimization: Provide high-level AMS (Application Management Support) for post-go-live incidents and complex system enhancements.
• Stakeholder Management: Manage relationships with key client stakeholders, providing strategic advice on HR digital transformation.

Technical & Professional Requirements

• Experience: Minimum of 5+ years of proven experience in SAP SuccessFactors projects.
• Certifications: Active SAP SuccessFactors Professional/Associate Certification (Employee Central is highly preferred).
• Technical Knowledge:
• Strong proficiency in Employee Central (EC).
• Experience with Integration Center, CPI (Cloud Platform Integration), and BIB.
• Knowledge of Spanish and English at a professional level (B2/C1).
• Soft Skills: Leadership capacity to manage small teams of junior consultants and high analytical skills for troubleshooting.

Join one of the EPAM teams and help to build SaaS for the client

Develop RESTful APIs (OData) based on SAP CAP on Java and Spring Boot

Requirements:

Strong JAVA Backend development skills

Solid understanding of Spring Boot 

Knowledge of SAP CAP based Java

Experience in REST API implementation 

Understanding of Domain-driver Design

Capable to drive initiatives;

Knowledge of DevOps Tools (e.g. Jenkins), S/4 HANA DMS, and ABAP would be added advantage

The practice of modern software engineering includes coding standards, code reviews, source control management, build processes, testing, and releasing

N.B.! Location: remote from Latvia/Lithuania; 

JD:

In a partnership with one of the global consulting enterprises, we are looking for a Software Engineer in Test specializing in Android applications to join our Account Mobile QA team. You will be responsible for designing, implementing, and maintaining automated test frameworks to ensure the reliability, functionality, and performance of our mobile products. This role requires strong Kotlin or Swift skills, hands-on mobile testing experience, and a collaborative mindset to work closely with developers, product owners, and UX teams.

Key Responsibilities:

• Define, communicate, and implement effective test approaches.
• Review and understand functional requirements, raising valid questions and risks early.
• Collaborate closely with developers and QA engineers to ensure products meet specifications and quality goals.
• Develop, enhance, and maintain automated test frameworks to validate both functional and non-functional requirements.
• Troubleshoot, reproduce, and verify reported defects, identifying root causes and providing detailed feedback.
• Produce clear, concise reports that demonstrate test coverage and product quality.
• Communicate testing status, progress, and risks to stakeholders.
• Follow QA best practices and contribute to process improvement within the team.

Essential Skills and Experience for Android:

• 2+ years of experience testing native Android applications.
• Strong coding skills in Kotlin (Java experience is a plus).
• Hands-on experience writing automated tests with Espresso or similar Android testing frameworks.
• Solid understanding of mobile testing practices, SDLC, and agile methodologies.
• Proven collaboration with developers, UX designers, and product owners to deliver high-quality mobile apps.
• Excellent communication and cross-team coordination skills.
• Experience planning, executing, and reporting test strategies in agile, cross-functional teams.

Thank you for your application! 

We carefully review all resumes; however, due to the high number of applications, we are only able to respond to candidates whom we plan to invite to the next stage. If you do not receive a response, please consider this as our decision not to proceed with your application for this position at this time.

Thank you for your understanding.

N.B.! Location: remote from Latvia/Lithuania; possible relocation (the company provides support).

JD:
In a partnership with one of global consulting companies, we are searching for a Principal Software Engineer In Test. The client is a UK-based telecommunication company.

Responsibilities:

Maintain the quality of the company’s Customer Data Platform (CDP) by validating accuracy, performance, consistency, and reliability. T

his involves working across internal and external teams to ensure the platform continues to operate effectively.

Testing multiple third party integrations along with company teams.

Our CDP is powered by AWS Redshift, mParticle, and Airship, and the testing will focus on ensuring seamless data ingestion, transformation and storage.

Requirements:

·      Expertise of 10+ years with key data and platform testing practices, including schema validation, data integrity, performance, security testing, and notification validation.

·      Experienced in building Test Automation Frameworks and test suites, following industry best practices.

·      Experience in non-functional testing.

·      Excellent proactive communication skills and confidence working with stakeholders in multiple locations and part of an Agile team.

You will play a key role in improving and maintaining the Amazon Redshift data warehouse, supporting analytical and ad-hoc workloads, and ensuring high availability and performance of Data APIs, Customer Data Platform services, and other business-as-usual (BAU) data services.

This is a high-impact role requiring strong ownership, architectural thinking, and hands-on engineering expertise.

Key Responsibilities:

• Improve performance and optimize costs of the Amazon Redshift data warehouse.
• Design and maintain scalable, secure, and reliable AWS-based data architecture.
• Support analytical and ad-hoc workloads, ensuring high availability of Data APIs and Customer Data Platform services.
• Implement infrastructure-as-code (CDK, CloudFormation) and maintain advanced AWS networking configurations (VPC, Transit Gateway, PrivateLink).
• Build and maintain integrations using REST APIs, SQS, SNS, and Kinesis.
• Apply DevOps best practices, CI/CD, TDD, and observability to ensure system reliability and quality.
• Develop solutions with scalability, security, and performance as core principles.

Required Experience & Skills:
5+ years of experience as a DataOps Engineer or similar role.

• Strong expertise with:
  • Amazon Redshift
  • Amazon Aurora
  • Amazon DynamoDB
• Deep knowledge of AWS cloud services (S3, EC2, Lambda, IAM, Athena, Managed Airflow).
• Hands-on experience with infrastructure-as-code (CDK, CloudFormation).
• Advanced AWS networking and security configuration experience.
• Proficiency in at least one programming language (Python or Java).
• Strong understanding of TDD and automated testing practices.
• Experience building distributed, event-driven systems.
• Solid understanding of DevOps, CI/CD, and modern engineering workflows.
• Experience designing systems for high scalability, performance, and resilience.

!!! Location: remotely from  Latvia, Lithuania, lower priority - Spain/Portugal/Romania/Slovakia/Hungary/Czech Republic!!!

In a partnership with one of global consulting companies, we’re looking for a Principal Data Engineer (Product Data Domains). The client is a UK-based telecommunication company.

Product Group is responsible for the design, development, and delivery of the company’s portfolio of digital products.  Our portfolio is diverse and contains some of the largest and highest-profile properties on the UK internet. We’re a huge streaming media destination, a news source trusted across the world, a provider of educational and entertaining content to children of all ages, and a sports results, analysis, and commentary service, and much more besides. It's an unparalleled portfolio of products, and our strength is our range and breadth. Working with the company’s content divisions, our focus now is on driving engagement across our portfolio so that the our service becomes a valued daily habit for all audiences just as television and radio have been over the last century. 

Data is fundamental to our future: both in helping us prioritise and shape our work and in creating richer, more personalised experiences for our audiences. And our portfolio means that we’ve got one of the widest, most diverse, and most exciting datasets to work within the UK. 

The Role 

The Principal Data Engineer will support the Product Data Domain teams. You will build ETL pipelines to ingest and transform data to develop the data products that will power key value use cases across the company. You will work in an agile multi-disciplinary team alongside product analytics developers, product data managers, data modelers and data operations managers, ensuring that all work delivers maximum value to the company. 

Role and Responsibilities 

Role and responsibilities will comprise of: 

• Leads and architects on developing robust and scalable complex data pipelines to ingest, transform, and analyse large volumes of structured and unstructured data from diverse data sources. Pipelines must be optimised for performance, reliability, and scalability in line with the client scale.  
• Lead initiatives to enhance data quality, governance and security across the organisation, ensuring compliance with client guidelines and industry best practices. 
• Prioritises stakeholders requirements and identify the best solution for timely delivery. 
• Leads on building automation workflows including monitoring and alerting. 
• Encouraging and mentoring team members in partnership with other disciplines to create value with data across the wider organisation.  
• Helps set standards for coding, testing and other engineering practices. 
• Leads on the building and testing of business continuity & disaster recovery procedures per requirements. 
• Proactively evaluates and provides feedback on future technologies and new releases/upgrades based on deep understanding of the domain. 

Are you the right candidate? 

When it comes to data engineering, we look for the following skills. 

Technical skills 

• Extensive (5+ years) experience in a data engineering or analytics engineering role, preferably in digital products. 
• Extensive experience in building ETL pipelines, ingesting data from a diverse set of data sources (including event streams, various forms of batch processing) 
• Excellent SQL and python skills. 
• Extensive use of AWS  
• Good working knowledge of Data Warehousing technologies (such as AWS Redshift, GCP BigQuery or Snowflake). 
• Experience in deploying and scheduling code bases in a data development environment, using technologies such as Airflow.  
• Demonstrable experience of working alongside cross-functional teams interacting with Product Managers, Infrastructure Engineers, Data Scientists, and Data Analysts. 

Teamwork and stakeholder management   

• Ability to listen to others’ ideas and build on them   
• Ability to clearly communicate to both technical and non-technical audiences.  
• Ability to collaborate effectively, working alongside other team members towards the team’s goals, and enabling others to succeed, where possible.  
• Ability to prioritise. A structured approach and ability to bring other on the journey.   
• Strong attention to detail