Lead Data Migration Engineer Job at NTT DATA (London)

Lead Data Migration Engineer with .NET

You will lead the data migration workstream for a compliance-critical public-sec...

Location

Poland , Wrocław; Bielsko-Biała

Salary:

145.00 - 170.00 PLN / Hour

Cshark

Expiration Date

Until further notice

Requirements

Proven experience with large-scale data migration projects: ETL, transformation pipelines, cutover planning
Hands-on experience with event sourcing (relational-to-event model transformation): decomposing relational data into domain events with deterministic ordering
Experience with legacy database analysis: reverse-engineering un(der)documented schemas, understanding data semantics and relationships without complete documentation
Experience with data quality handling: nulls, duplicates, inconsistent formats, missing fields, validation rules
Familiarity with document/file migration at scale: metadata extraction, filename parsing, large-volume validation and dealing with corrupted or ambiguous data or metadata
Strong knowledge of backend design patterns (dependency injection, repository, mediator, factory)
English language skills (B2+ minimum): required for clear communication with stakeholders and documentation of architectural decisions
Hands-on experience with CQRS, Domain-Driven Design, and Event Sourcing
Ability to design and implement aggregates, entities, value objects, and bounded contexts
Skilled in building systems that enforce clear separation of concerns, scalability, and maintainability

Job Responsibility

Lead the data migration workstream for a compliance-critical public-sector registry system
Converting a fully normalised relational database into an event-sourced architecture, migrating large volumes of document files, and ensuring every data related decision is documented and approved by the client

What we offer

100% remote work
Flexible hours
International projects
Business english lessons
Participation in charity actions
In-house technology workshops

Fulltime

Forward Deployed Engineer - Data Migration & Data Consolidation Platforms

As a Forward Deployed Engineer (FDE) for Data Migration & Data Consolidation Pla...

Location

United States

Salary:

Not provided

Rackspace

Expiration Date

Until further notice

Requirements

7-10+ years of progressive experience in enterprise data engineering, data migration, or large-scale system integration roles within complex, multi-platform environments
3-5+ years directly leading end-to-end data migration or multi-system consolidation programs for Global Enterprises and Industry Leaders, with full ownership of technical delivery and client outcomes
Demonstrated client-facing experience serving as a trusted technical advisor to C-level executives, enterprise architecture teams, and cross-functional business stakeholders
Proven industry depth in at least two of the following verticals: Healthcare, Financial Services, Manufacturing, Retail, Energy & Utilities, or Public Sector
Hands-on migration complexity: successfully delivered programs involving at least 3+ heterogeneous source systems, 100M+ records, complex master data harmonization, and multi-phase cutover execution
Advanced proficiency in Python and SQL with working experience in PySpark and TypeScript/JavaScript
Hands-on expertise with modern ETL/ELT and data integration platforms (Informatica, Talend, Matillion, Fivetran, AWS Glue, Azure Data Factory)
Proven ability to build scalable, version-controlled data pipelines with error handling, incremental loading, and Change Data Capture (CDC)
Strong working knowledge of at least one major cloud provider (AWS, Azure, or GCP), including core infrastructure, managed data services, and security configurations
Experience with enterprise data warehouse and lakehouse platforms (Snowflake, Databricks, BigQuery, Redshift, Synapse Analytics, Delta Lake)

Job Responsibility

Migration Execution & Cloud Architecture: Lead end-to-end delivery of enterprise data migrations from corporate systems (SAP, Oracle, Epic ERP) to target cloud data platforms, including the design of cloud landing zones, data governance frameworks, and system rationalization strategies. Establish migration compliance controls, automated rollback procedures, and operational readiness gates while owning full technical accountability for 12–18+ month migration roadmaps
Data Pipeline Engineering & Transformation: Build production-grade data connectors to SAP (RFC, IDoc, BAPI, OData), Oracle (AQ, GoldenGate, APIs), and SQL/non-relational sources. Develop ETL/ELT pipelines with LLM-enabled transformation logic, multi-layer validation and reconciliation frameworks, and optimized throughput for datasets scaling from tens of millions to billions of records with built-in CDC and incremental loading
Ontology Layer Development & Schema Automation: Construct semantic ontology layers translating raw ERP structures into business-consumable objects (Customer, Order, Invoice, Product, Vendor, Asset). Deploy automated schema mapping agents for source-to-target analysis and transformation logic generation. Build unified master data models with row/column-level security, cross-system lineage tracking, and AI-ready semantic structures
Application & Workflow Delivery: Build operational dashboards, migration control centers, and agent-driven workflows for automated validation, exception handling, and anomaly detection using low-code platform tools. Generate TypeScript/Python SDKs for custom integrations and deliver real-time monitoring and self-service interfaces for migration progress, data quality KPIs, and compliance tracking
Multi-System Consolidation & Master Data Management: Lead consolidation of 5–15+ fragmented ERP instances into standardized master data models. Resolve complex entity resolution challenges including customer matching, product harmonization, and chart of accounts unification. Establish golden record frameworks, data quality scorecards, survivorship rules, and data stewardship workflows for post-migration governance
Client Engagement, Discovery & Modernization Advisory: Serve as primary technical advisor to C-suite and enterprise architecture stakeholders across all engagement phases. Deploy discovery agents to analyze legacy data estates, conduct assessment workshops, facilitate solution design sessions, and deliver executive briefings, go/no-go readiness assessments, and prioritized modernization roadmaps
Knowledge Transfer, Enablement & IP Development: Build reusable migration accelerators, playbooks, and reference architectures that scale across engagements. Lead knowledge transfer to upskill client teams for post-migration ownership and collaborate with internal product and sales engineering teams to feed field insights back into platform development and delivery methodology
Leadership & Executive Engagement: Operate autonomously in ambiguous, high-stakes client environments, driving outcomes with minimal oversight
translate deeply technical concepts into clear, business-level narratives for C-suite audiences through executive briefings and stakeholder communications
navigate organizational complexity, competing stakeholder priorities, and enterprise change management dynamics to maintain momentum across multi-workstream engagements

Lead Data Migration Architect

We are seeking a Lead Data Migration Architect to lead the design, assurance, an...

Location

United Kingdom , London

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Recent experience as a Lead Data Migration Architect, Lead Data Architect, or Data Solutions Architect in migration-focused programmes
Demonstrated ownership of end-to-end data migration strategy, execution, and testing assurance
Experience operating in consulting, systems integration, or delivery partner roles
Proven leadership of cross-functional migration teams, including engineers, testers, and architects
Experience working within UK Central Government or ALBs strongly preferred
Strong experience designing and delivering large-scale data migration solutions
Experience designing end-to-end data migration architectures from legacy systems to cloud platforms
Experience defining migration strategies including bulk data loads followed by incremental/delta processing
Re-platforming and repointing of data pipelines
Experience leading migration programmes from legacy data warehouses to AWS Data Lakehouse architectures

Job Responsibility

Lead the design, assurance, and delivery of secure, cloud-based data migration solutions for UK Central Government departments
Combine architectural strategy with hands-on migration delivery oversight and testing governance
Shape target-state data platforms while ensuring data is migrated accurately, securely, and efficiently within regulated, security-conscious environments
Strong emphasis on data migration validation, ETL testing, and pipeline assurance, particularly within AWS-based Data Lakehouse architectures
Define and govern end-to-end migration testing strategies, ensuring successful transition of data from legacy data warehouses to modern cloud platforms

What we offer

Range of tailored benefits supporting physical, emotional, and financial wellbeing
Learning and Development opportunities for continuous growth and development
Opportunity for flexible work options
Inclusive work environment
Disability Confident Committed Employer

Data Migration Lead

Are you a data visionary with a deep understanding of Product Lifecycle Manageme...

Location

Canada , Lachine

Salary:

38.73 - 50.00 USD / Hour

Randstad

Expiration Date

July 10, 2026

Requirements

PLM Expertise: Proven experience with Teamcenter / Active Workspace data structures, item management, and metadata rules
Migration Experience: Prior track record leading or executing large-scale PLM data migrations (multi-system enterprise migrations preferred)
Technical Literacy: Hands-on experience with ETL workflows, mapping design, and data validation frameworks
Engineering Knowledge: Deep understanding of core product data (BOMs, Specifications, CAD/PD data, Service BOM variants)
ERP Integration: Familiarity with SAP integration, part master data flows, and downstream ERP touchpoints
Analytical Skillset: Strong background in data profiling and handling complex, large-scale engineering datasets.

Job Responsibility

Lead BU-level data migration activities, ensuring alignment with global processes and timelines
Own data scope, mapping, and transformation logic to ensure migrated data is improved and fully functional in the new environment
Define and Validate attribute mapping between data structures, including items, BOMs, metadata, and engineering artifacts
Identify and Remediate legacy data issues and historical inconsistencies
Govern non-Teamcenter sources (spreadsheets, local tools) to ensure a cohesive migration into the new system
Orchestrate extraction, cleansing, transformation, and load (ETL) activities across internal SMEs and external partners
Manage Quality Gates and acceptance criteria in line with global governance frameworks
Drive Change Management by helping teams adapt to new data structures and ways of working
Create and maintain detailed data mapping specifications and transformation rules
Oversee the extraction of Teamcenter data and drive the cleansing of legacy issues

What we offer

Global Impact: Lead a mission-critical project for a world-renowned engineering organization
Cutting-Edge Tech: Gain hands-on leadership experience with the latest PLM/Teamcenter and Active Workspace technologies
Collaborative Culture: Work within a highly structured, global framework with support from expert external partners
Strategic Visibility: Direct reporting lines to BU leadership and global governance boards

Fulltime

Data Migration Lead

The Data Migration Lead plays a key role in ensuring HSO’s clients move to adopt...

Location

Netherlands , Amsterdam

Salary:

Not provided

HSO

Expiration Date

Until further notice

Requirements

Deep hands‑on experience with Dynamics 365 Finance & Operations (F&O) data migration
Expertise in T-SQL (authoring complex queries, stored procedures, performance tuning, and reconciliation)
A proven understanding of data migration principles (profiling, mapping, cleansing, validation, and cutover)
Experience managing data teams across multiple streams (Migration, Analytics, Integration)
The ability to handle commercially sensitive information and decisions is important
A bachelor's or master's degree in computer science, Information Systems, Data Analytics, or related field
A strong communicator who can manage stakeholders across technical and business audiences
A credible senior consultant with the presence of coaches, challenges, and align cross‑functional teams
Analytical and detail‑oriented, with strong problem‑solving skills and a focus on quality
Structured in delivery, able to plan, execute, and govern with clear milestones and acceptance criteria

Job Responsibility

Own the full data migration lifecycle for Dynamics 365 F&O (and CE where relevant), covering planning, execution, cutover, and postmigration verification and hypercare to ensure accuracy and business continuity
Lead data discovery, profiling, mapping, cleansing, transformation, and validation activities with functional and technical teams
Coordinate effectively with all stakeholders (client teams, HSO delivery teams, ISVs), providing clear communication around progress, risks, and decisions
Define migration scope, approach, timelines, resourcing, and risk controls in alignment with project governance and commercial sensitivities
Establish and enforce Data Governance standards (lineage, controls, security, retention) for migration assets, and guide Master Data Management (MDM) setup and data quality initiatives
Lead data engineering teams to design and implement robust ETL processes and quality checks
manage cutovers and reconciliation
Author migration scripts and queries in T-SQL. Use Python to automate repeatable tasks and validations when appropriate
Leverage Microsoft Fabric and modern data platforms
Enable legacy and migrate data for analytical purposes like AI and BI

What we offer

Development and growth
Fun and success
International project exposure
Freedom and responsibility

Fulltime

Senior Data Migration Engineer

As a Senior Data Migration Engineer, you will be a core execution member of the ...

Location

Poland , Wrocław; Bielsko-Biała

Salary:

135.00 - 170.00 PLN / Hour

Cshark

Expiration Date

Until further notice

Requirements

Proven experience with large-scale data migration projects: ETL or systems integration on enterprise-scale projects, transformation pipelines, cutover planning
Experience working with XML-based data transformation (mapping files, XSLT, or equivalent config-driven ETL)
Proven ability to diagnose complex migration errors under time pressure: root-cause analysis, staging data fixes, re-run coordination
Experience coordinating with business stakeholders during UAT and cutover
clear written and verbal communication in English
Experience with legacy database analysis: reverse-engineering un(der)documented schemas, understanding data semantics and relationships without complete documentation and dealing with corrupted or ambiguous data or metadata
Comfortable working with SQL at an advanced level: complex queries, schema analysis, data profiling, and diagnosing data quality issues
Strong proficiency in SQL across at least two of: PostgreSQL, Oracle, SQL Server, DB2
Solid Java skills (Java 21 ecosystem preferred)
comfortable building and extending internal tooling – data pipelines, automation scripts, validation frameworks – with clean, testable code

Job Responsibility

Work hands-on across the full migration lifecycle – from extraction and mapping through conversion, validation, and cutover
Actively building the tooling and accelerators that make future migrations faster and safer (e.g.: artifact observability, version-controlled mapping pipelines, automated validation checks, and reusable migration templates)
Shape the process, own the tooling, and directly influence delivery velocity
Mentor and technically lead parallel migration teams

What we offer

100% remote work
Flexible hours
International projects
Business english lessons
Participation in charity actions
In-house technology workshops

Fulltime

Lead Data Engineer - Finance & Accounting Focus

The Lead Data Engineer – Finance & Accounting focus owns the design, development...

Location

United States , St. Petersburg; Plano; Boston; St. Louis; Atlanta

Salary:

127000.00 - 160550.00 USD / Year

Zelis

Expiration Date

Until further notice

Requirements

7+ years of experience in data engineering, with 2+ years in a technical lead or ownership role
Demonstrated experience developing data solutions for finance and accounting domains, such as general ledger, revenue, payments, claims, billing, or financial reporting
Proven experience designing and delivering Snowflake cloud data warehouse solutions
Strong cloud engineering experience supporting financial data platforms, including data lakes, pipelines, and cloud-native services
Advanced SQL expertise, including complex joins, performance tuning, and reconciliation logic
Experience building and managing enterprise financial data warehouses and data lakes
Hands-on experience migrating financial data systems from on-premises SQL platforms to cloud environments
Strong understanding of financial data modeling, ETL/ELT patterns, and analytics architecture
Demonstrated leadership, mentorship, and cross-functional collaboration skills
Excellent communication skills with both technical teams and finance/accounting stakeholders

Job Responsibility

Own end-to-end delivery of finance and accounting data service solutions, from requirements and architecture through implementation, testing, deployment, and support
Design and implement Snowflake-based financial data architectures, including accounting-ready data models and DBT transformation pipelines
Build and maintain high-reliability data pipelines supporting financial reporting, reconciliations, close processes, and downstream analytics
Lead cloud data engineering initiatives across the data platform supporting general ledger, revenue, payments, claims, billing, and operational finance workflows
Serve as technical lead on finance-focused projects, setting engineering standards, making architectural decisions, and ensuring delivery quality and timelines
Partner closely with Finance, Accounting, FP&A, and Analytics teams to translate business and accounting requirements into scalable data products
Ensure financial data integrity, auditability, and traceability, including controls, lineage, and reconciliation logic
Mentor and guide data engineers through code reviews, design reviews, and hands-on technical leadership
Establish and enforce data quality, observability, and governance practices aligned to financial and regulatory expectations
Support migration of financial data platforms from on-premises systems to cloud-based solutions

What we offer

401k plan with employer match
flexible paid time off
holidays
parental leaves
life and disability insurance
health benefits including medical, dental, vision, and prescription drug coverage

Fulltime

Data Migration Engineer

As a Data Manager – Enterprise at MoeGo, you will own and lead data migration an...

Location

United States

Salary:

Not provided

MoeGo

Expiration Date

Until further notice

Requirements

3+ years of hands-on experience in data management, data migration, or data conversion roles
Strong Python experience with heavy use of the Pandas library for data manipulation and transformation
Advanced SQL skills, specifically with MySQL and PostgreSQL
Proven experience executing complex data cleansing, normalization, and deduplication work
Experience using Git or other version control systems
Client-facing experience leading data kickoff, discovery, and mapping sessions independently
Strong technical documentation skills and the ability to clearly explain data issues and requirements
Experience owning migration outcomes — not just assisting or supporting tasks

Job Responsibility

Own end-to-end data migration execution for enterprise and multi-location customers from discovery through cutover and validation
Lead client-facing data discovery and data mapping sessions to define source structures, transformation rules, and migration scope
Profile, cleanse, normalize, deduplicate, and transform large datasets using Python and Pandas
Write advanced SQL queries (MySQL and PostgreSQL) to validate, transform, and reconcile migrated data
Define and apply business rules for matching, merging, and record standardization
Build repeatable migration scripts and reusable data transformation workflows using version control best practices
Partner with Implementation, Solutions Engineering, Product, and Support to resolve data-related blockers and edge cases
Create clear technical documentation including data mapping specs, transformation logic, validation plans, and migration runbooks
Design and execute data validation and integrity checks before and after migration
Identify risks early and define rollback or remediation approaches when needed

What we offer

Flexible benefit plans to employees and their family members at no cost to the employees
401(k) matching

Fulltime

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