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Data Engineer Technical Lead

Adaugat: Azi

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Companie :
AllCloud
Functia Jobului :
Consultanta & strategie
Locatie :
Bucuresti
Descriere:


About AllCloud

AllCloud is a global professional services company providing organizations with the tools for cloud enablement and transformation. As an AWS Premier Consulting Partner and audited MSP, a Salesforce Platinum Partner, and Snowflake Premier Partner, AllCloud helps clients connect their front office and back office by building a new operating model that allows them to harness the benefits of cloud technology and data and analytics.


Job Summary

AllCloud is seeking an experienced and visionary Data Engineer Technical Lead to guide and expand our Romanian Delivery Center talented team of data experts. This is a "player-coach" role for a senior data engineer who is passionate about both building world-class data solutions and mentoring a high-performing team. You will spend 60-80% of your time on billable client projects, leading the charge on designing and implementing complex data architectures.


The ideal candidate is a strategic thinker with deep expertise in the AWS data ecosystem and a strong background in applying AI/ML concepts to data pipelines. You will be responsible for the technical direction and successful delivery of our client projects, from cloud migrations to the development of sophisticated AI-driven data platforms. You will lead your team by example, establishing best practices, driving innovation, and playing a pivotal role in scaling our data practice to meet the next wave of client challenges.


Summary of Key Responsibilities:


Team Leadership & Strategy (20-40%)

  • Lead, mentor, and grow a team of data engineers, fostering a culture of technical excellence, continuous learning, and collaboration.
  • Provide technical oversight and architectural guidance across all data engineering projects, ensuring solutions are robust, scalable, and secure.
  • Act as the primary technical point of contact for key client engagements, translating complex business requirements into actionable technical roadmaps.
  • Drive the strategic direction of the team’s technical capabilities, particularly in areas of big data, streaming analytics, and MLOps.
  • Contribute to pre-sales activities, including solution design, project scoping, and effort estimation for new client proposals.


Hands-On Technical Delivery (60-80%)

  • Architect and implement end-to-end, cloud-native data solutions on AWS, leveraging services like Glue, EMR, Redshift, Kinesis, and SageMaker.
  • Design, build, and optimize scalable ‘big data’ pipelines and data lakes that process diverse data types, from near real-time events to large unstructured files (images, documents, etc.).
  • Lead the integration of AI/ML models into production data pipelines, working closely with data scientists to productionize algorithms and establish MLOps frameworks.
  • Serve as the senior subject matter expert for clients and internal teams on database optimization (SQL/NoSQL), data governance, security, and cloud data architecture.
  • Work hands-on with a wide variety of data sources and technologies, including Spark, Kafka, Elasticsearch, Python/Scala, and advanced SQL to solve challenging data problems.


Requirements:


Must-Have Skills & Experience

  • 3-5 years in backend software engineering, with at least 2 years of hands-on experience with AWS services.
  • Python proficiency for backend development.
  • Hands-on expertise with AWS Step Functions and event-driven architecture.
  • Strong knowledge of core AWS services, including Lambda, API Gateway, DynamoDB, Aurora/Postgres, and S3.
  • Proven ability to design and implement large-scale, high-availability systems.
  • Experience with microservices and containerised environments (Docker, Kubernetes/EKS).


Nice-to-Have Skills

  • Experience integrating LLMs with AWS Bedrock.
  • Experience with Kafka or other event-streaming systems.
  • Proficiency with AWS observability tools such as CloudWatch and X-Ray.
  • Practical experience with Retrieval-Augmented Generation (RAG) frameworks.
  • Background in building complex AI-driven workflows that combine structured logic with LLM reasoning.
  • A proven track record in production-grade systems within financial, enterprise, or other regulated industries.


Why work for us?

Our team inspires progress in each other and in our customers through our relentless pursuit of excellence; you will work with leaders who promote learning and personal development. We offer competitive salaries, bonus incentives, benefits, flexible hours, and mentoring. Apply now to become part of the team.

AllCloud is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, provincial, or local law.


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