CrawlJobs Logo
Inetum Logo Inetum · IT - Software Development

Technical Leader Data Engineer

Romania, Bucharest Employment contract · Job Posted July 29, 2025
Apply Position
Job Link Share

Job Description

Inetum is a European leader in digital services. Inetum’s team of 27,000 consultants and specialists strive every day to make a digital impact for businesses, public sector entities and society. Inetum’s solutions aim at contributing to its clients’ performance and innovation as well as the common good.

Job Responsibility

  • Lead the design and implementation of scalable data processing pipelines
  • Guide the development of Machine Learning algorithms and microservices using Scala and Spark
  • Oversee data exploration, parsing, and transformation activities
  • Conduct technology watch and recommend tools to optimize the solution
  • Collaborate with cross-functional teams including data scientists, developers, and architects
  • Ensure high-quality deliverables and adherence to project timelines

Requirements

  • Proven technical leadership and expertise in data engineering
  • Relevant project references and domain experience
  • Quality and clarity of the proposed approach
  • Ability to manage complex environments and ensure successful delivery
  • Realistic planning and resource allocation
  • Programming & Scripting: Shell (Unix), Perl, PHP, Python, Git, GitHub
  • Big Data & Processing: Scala, Spark
  • Databases: PostgreSQL
  • Search & Visualization: Elasticsearch, Kibana
  • Strong experience in leading technical teams and delivering complex data solutions

What we offer

  • Full access to foreign language learning platform
  • Personalized access to tech learning platforms
  • Tailored workshops and trainings to sustain your growth
  • Medical subscription
  • Meal tickets
  • Monthly budget to allocate on flexible benefit platform
  • Access to 7 Card services
  • Wellbeing activities and gatherings
Inetum - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Technical Leader Data Engineer

8 matching positions

Technical Leader - Data Engineering

The position involves leading a team of Data Engineers and Developers, managing ...
Location
Location
Poland , Warsaw
Salary
Salary:
Not provided
https://www.inetum.com Logo
Inetum
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Knowledge of Microsoft Azure and/or Google Cloud environments, particularly in the field of AI & Data solutions
  • Experience in building ETL/ELT processes
  • Knowledge of cloud services in the field of Data Engineering (Microsoft Fabric / Databrics / Snowflake)
  • Programming skills and knowledge of SQL / Python
  • Presales skills, i.e. preparing preliminary PoCs and presenting them to customers
  • Knowledge of English at B2+ level
Job Responsibility
Job Responsibility
  • Lead end-to-end delivery for multi-team engagements, converting strategy into executable roadmaps with clear milestones, risk controls, and timely decisions
  • Build high-performing teams through coaching and firm standards
  • resolve conflicts early and develop successors to mitigate key-person risk
  • Serve as a trusted client counterpart- facilitate outcome-oriented workshops, align stakeholders, negotiate scope/change, and maintain a value-prioritized backlog
  • Drive commercial outcomes by shaping proposals/SOWs, producing defensible estimates, tracking margin/utilization/forecast accuracy and identifying compliant, value-accretive expansions
  • Provide architectural leadership and governance, documenting trade-offs and aligning with security, compliance, cost, and operability
  • Lead team of Data Engineers and Developers
  • Technical verification of Candidates
What we offer
What we offer
  • Flexible working hours
  • Hybrid work model, allowing employees to divide their time between home and modern offices in key Polish cities
  • A cafeteria system that allows employees to personalize benefits by choosing from a variety of options
  • Generous referral bonuses, offering up to PLN6,000 for referring specialists
  • Dedicated team-building budget for online and on-site team events
  • Opportunities to participate in charitable initiatives and local sports programs
  • A supportive and inclusive work culture with an emphasis on diversity and mutual respect
Read More
Arrow Right

Distinguished Data Engineer - Enterprise Data Technology

Distinguished Data Engineers are individual contributors who strive to be divers...
Location
Location
United States , McLean; San Francisco
Salary
Salary:
269100.00 - 335100.00 USD / Year
capitalone.com Logo
Capital One
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s Degree
  • At least 7 years of experience in data engineering
  • At least 3 years of experience in data architecture
  • At least 2 years of experience building applications in AWS
  • At least 5 years of experience of Python, SQL or Scala
  • At least 3 years of experience developing AI and ML algorithms or technologies
Job Responsibility
Job Responsibility
  • Lead the design and implementation of highly scalable, fault-tolerant, and cost-effective data architectures that seamlessly integrate Databricks (for complex processing,ML) and Snowflake (for warehousing,ETL)
  • Drive performance engineering and optimization for large-scale data ingestion and processing workloads across the Databricks,Snowflake,AWS data pipeline
  • Provide technical leadership for the design, development, testing and deployment of agentic workflows across Capital One
  • Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices
  • Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities
  • Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in
  • Strike the right balance between lending expertise and providing an inclusive environment where others’ ideas can be heard and championed
  • leverage expertise to grow skills in the broader Capital One team
  • Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible
  • Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner
What we offer
What we offer
  • comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
  • performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
  • Fulltime
Read More
Arrow Right

Staff Engineer - Finance Data Engineer

GEICO is seeking Finance Data specialists to support the build out of a Finance ...
Location
Location
United States , Palo Alto
Salary
Salary:
110000.00 - 260000.00 USD / Year
geico.com Logo
Geico
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 15+ years of Finance Systems experience with industry leading ERP solutions (e.g. implementing and supporting Oracle
  • Workday
  • SAP or PeopleSoft)
  • 3+ years of experience in implementing and supporting FP&A applications (Preferred)
  • 3+ years working with or supporting a Finance Data Lake/Warehouse/Mart along with various Financial Reporting tools
  • Good understanding of Dimensional Data Modeling
  • Strong working knowledge of Data processing/data transformation using ETL/ELT tools such as Informatica, DBT, etc.
  • Strong working knowledge of SQL and the ability to write, debug and optimize SQL queries and ETL jobs
  • Experience working with Financials via the major vendors (e.g. PeopleSoft
  • Oracle EBS
Job Responsibility
Job Responsibility
  • Leverage your strong Functional and Technical systems expertise to drive towards the right solution to support the department and GEICO’s current and future needs
  • Engage in cross-functional collaboration throughout the entire software lifecycle
  • Support design sessions with peers to ensure systems are well designed, efficient, and meet Business expectations
  • Collaborate with Finance Leaders within the FP&A, Controllers, Financial Reporting, and Finance QA & Systems team along with the Data Engineering and Finance Technology leaders to ensure organizational goals are met
  • Have a deep understanding of a few Finance functions to support the establishment of a vision and technology roadmap to build out a Finance Data Lake/Warehouse
  • Have a good understanding of finance data lake/mart with Data processing/data transformation using ETL/ELT tools such as Informatica, DBT, etc.
  • Experience with designing, developing, implementing, and maintaining solutions for data ingestion and transformation projects
  • Experience working with cloud data solutions (Delta Lake, Iceberg, Hudi, Snowflake, Redshift or equivalent)
  • Support the development of a roadmap and then work towards implementing Revenue and Expense Analytical solutions
  • Support and try to influence customers and stakeholders, and work through divergent expectations
What we offer
What we offer
  • Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
  • Financial benefits including market-competitive compensation
  • a 401K savings plan vested from day one that offers a 6% match
  • performance and recognition-based incentives
  • and tuition assistance
  • Access to additional benefits like mental healthcare as well as fertility and adoption assistance
  • Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year
  • Fulltime
Read More
Arrow Right

Forward Deployed Engineer - Data Migration & Data Consolidation Platforms

As a Forward Deployed Engineer (FDE) for Data Migration & Data Consolidation Pla...
Location
Location
United States
Salary
Salary:
Not provided
rackspace.com Logo
Rackspace
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
Read More
Arrow Right

Data Scientist, Technical Lead - Infrastructure Data Center

The Infrastructure Data Center (IDC) organization at Meta is looking for an exce...
Location
Location
United States , Bellevue
Salary
Salary:
253000.00 - 314000.00 USD / Year
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of experience in a Data Science, Applied Science, or Analytical Engineering role, with a proven track record of leading large, complex technical programs
  • Exceptional technical background in Data Science, Machine Learning, and statistical methods, demonstrated through industry experience and/or advanced education
  • Extensive experience working in the Data Center, Infrastructure, Cloud, or other relevant hyperscaler domains, demonstrating deep domain knowledge
  • Demonstrated ability to function as a technical storyteller, articulating highly technical concepts and their business implications effectively to technical, business, and executive audiences
  • Proven experience driving technical strategy and thought leadership in a fast-paced, high-growth, and rapidly evolving technical environment, particularly adapting to new AI paradigms
  • Expertise in programming and querying languages (e.g., Python, R, SQL) and experience working with large-scale data systems
  • B.S. or M.S. in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, Physics, or equivalent practical experience
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Job Responsibility
Job Responsibility
  • Serve as the foremost technical authority and individual contributor for Data Science within the IDC organization, setting technical direction, standards, and best practices
  • Lead the development and execution of technical solutions for high-priority IDC initiatives, particularly those leveraging advanced AI, Machine Learning, and foundational Data Science techniques
  • Represent IDC Data Science and the broader IDC organization in high-stakes technical and engineering discussions with a wide range of cross functional partners, including Infra leadership and other Meta organizations
  • Act as a technical thought leader, driving innovation in Data Science, Engineering, and analytics specifically tailored to the unique challenges of Data Center and Infrastructure at a hyperscale level
  • Translate complex technical work into clear, compelling narratives for diverse audiences, demonstrating the business impact of Data Science initiatives to both technical and executive stakeholders
  • Proactively adapt the team's technical roadmap and capabilities to incorporate the latest developments in AI, both ensuring IDC remains at the cutting edge of AI enabling infrastructure and how AI is being leveraged to significantly increase productivity and effectiveness of the team’s work product
  • Provide deep technical mentorship and guidance to other Data Scientists and Engineers, raising the overall technical bar of the organization
  • Collaborate with Engineering and Product teams to drive the full lifecycle of data science solutions, from ideation and experimentation to robust deployment and measurement at scale
What we offer
What we offer
  • bonus
  • equity
  • benefits
  • Fulltime
Read More
Arrow Right
New

Lead, Data Engineer

The Lead Data Engineer provides technical leadership for the design, development...
Location
Location
Canada , Vancouver
Salary
Salary:
120000.00 - 140000.00 USD / Year
canfor.com Logo
Canfor
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Information Systems, Mathematics, or Statistics
  • 7–10+ years of experience in enterprise data warehousing, analytics, and data platform engineering
  • 7+ years of demonstrated experience designing and delivering data engineering, ELT, and streaming solutions, including technical leadership across complex initiatives
  • Proven track record designing and evolving scalable, secure, and cost-effective cloud data architectures in an enterprise environment
  • Proven experience in database design, data schema design and data modeling
  • Experience defining and governing enterprise data architecture standards, engineering frameworks, and reference patterns
  • Experience delivering ETL/ELT solutions for importing data from a wide variety of sources
  • Experience working with Microsoft Fabric or Azure Products: Microsoft Fabric, Azure Synapse, Azure Data Factory, Azure Purview, Azure DevOps, etc.
  • Experience designing and building cloud data architecture to facilitate data pipelines and analysis workflows within a cloud environment (preferably Microsoft Fabric)
  • Experience with Enterprise Resource Planning systems (preferably Oracle) is an asset
Job Responsibility
Job Responsibility
  • Lead the design and implementation of batch, real-time, and streaming data pipelines in Microsoft Fabric, while establishing engineering standards, reusable patterns, and delivery best practices
  • Design and build event-driven and near real-time data processing solutions that enable reliable, scalable data movement
  • Own the evolution of the data platform, including scalability, reliability, observability, resiliency, and cost optimization
  • Enable data platforms that support AI/ML and Generative AI use cases
  • Establish data observability, monitoring, and data quality SLAs to ensure trusted, resilient data solutions across the analytics platform
  • Establish and enforce processes and controls that maintain the security, quality, accountability, availability, and compliance of enterprise data assets
  • Partner with business and IT leaders to shape roadmaps, lead delivery planning, manage technical tradeoffs, and execute projects within time and budget constraints
  • Establish and maintain architecture, engineering, operational, and support documentation standards for the data platform
  • Translate business requirements into scalable data platform designs and guide solution implementation to support analytics and reporting delivery
  • Partner with analytics and data science teams to operationalize advanced analytics solutions
What we offer
What we offer
  • performance-based incentive plans
  • recognition programs
  • benefits
  • paid leaves
  • pension plans with base and matching contributions
  • savings options
  • robust health & well-being initiatives
  • Fulltime
Read More
Arrow Right

Data Engineer (Azure Focus)

About Blue Ridge Care At Blue Ridge Care, we deliver extraordinary care to impro...
Location
Location
United States , Winchester
Salary
Salary:
85000.00 - 110000.00 USD / Year
brhospice.org Logo
Blue Ridge Hospice
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in computer science, data analytics, information systems, or related field preferred (or equivalent experience)
  • 1–2 years of experience in data engineering, BI, analytics engineering, or similar role
  • Foundational experience with Microsoft Azure and strong desire to grow in Azure technologies
  • Working knowledge of SQL and data pipeline concepts (ETL/ELT)
  • Experience supporting or troubleshooting data processes or pipelines
  • Understanding of relational databases, structured data, and validation techniques
  • Strong problem-solving, documentation, and communication skills
  • Ability to collaborate with both technical and non-technical stakeholders
Job Responsibility
Job Responsibility
  • Support the buildout and stabilization of Blue Ridge Care’s Azure-based data platform
  • Assist in developing, testing, and maintaining scalable data pipelines
  • Help expand the platform to meet growing reporting and analytics needs
  • Learn system architecture to support long-term internal ownership
  • Integrate data from various systems including databases, files, and APIs
  • Apply ETL/ELT concepts to transform data into standardized, usable formats
  • Support enhancements to data models and reporting structures
  • Assist with new data pipeline development and system integrations
  • Perform data validation and quality checks to ensure reliability and accuracy
  • Identify and troubleshoot data issues across systems and pipelines
What we offer
What we offer
  • Competitive Pay
  • Flexible Work Arrangements
  • PTO & Paid Volunteer Time
  • Comprehensive Health Benefits
  • Tuition Reimbursement & Professional Development
  • Collaborative, mission-driven culture
  • Growth opportunities aligned with our 2030 Strategic Plan
  • Fulltime
Read More
Arrow Right

Senior Data Engineer

Are you a Senior Data professional who enjoys mentoring talent and designing hig...
Location
Location
Greece , Athens
Salary
Salary:
Not provided
https://www.randstad.com Logo
Randstad
Expiration Date
July 10, 2026
Flip Icon
Requirements
Requirements
  • University degree in Computer Science, Statistics, Mathematics, or a related Quantitative field.
  • 5+ years of professional experience in Data Engineering with a mastery of MS SQL Server (T-SQL, SSIS, Performance Tuning).
  • Proven experience in mentoring or leading technical team members.
  • Exposure to VBM methodologies or a strong understanding of financial/business data modeling.
  • Hands-on experience with QlikSense or Qlikview (or similar BI visualization tools like Tableau/Power BI).
  • Excellent command of the English language.
  • A proactive leader with an analytical mindset and a passion for knowledge sharing.
Job Responsibility
Job Responsibility
  • Lead the design and implementation of robust data architectures using on-premise MS SQL Server technologies.
  • Mentor and guide junior developers, assisting them in technical design and ensuring best practices in database management and ETL processes.
  • Develop complex data models that drive strategic business decisions and high-level reporting.
  • Collaborate with business stakeholders to translate VBM methodologies into technical requirements.
  • Oversee the integration of data flows into visualization tools, ensuring data accuracy and top-tier performance.
Read More
Arrow Right