Entry Level Streaming Data Engineer Jobs in Boston, MA

At IBM Consulting UK FutureNow, you’ll build a career at the forefront of hybrid cloud and AI, working with leading clients across the public and private sectors.

You’ll collaborate with top industry professionals, gain hands on experience with cutting edge technologies, and deliver solutions that create real business impact. From day one, you’ll work on meaningful, high profile programmes that stretch your skills and accelerate your growth.

We invest heavily in you—supporting continuous learning, in demand skills development, and long term career progression. You’ll thrive in a flexible, inclusive environment that values curiosity, encourages reinvention, and recognises what makes you unique.

We offer:

• Tools and policies to support your work-life balance from flexible working approaches, sabbatical programs, paid paternity leave, maternity leave and an innovative maternity returners scheme
• More traditional benefits, such as 25 days holiday (in addition to public holidays), private medical, dental & optical cover, online shopping discounts, an Employee Assistance Program, life assurance and a group pension plan through salary sacrifice.

In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

Your role and responsibilities

As a Senior Data Engineer within Data & Analytics Platforms, you will lead the design and delivery of scalable, reliable data engineering solutions that underpin analytics, data science, and AI use cases across client environments. You will work across modern data platforms, integrations, and pipelines, supporting a wide range of analytical and AI driven projects.

This role focuses on building the data foundations required for advanced analytics and AI, working closely with data scientists and client stakeholders to ensure data is accessible, trusted, and fit for purpose.

Core Responsibilities

• Lead the design and development of robust data pipelines and data platforms to support analytics and AI workloads
• Build and maintain batch and streaming data solutions, including ingestion, transformation, and orchestration
• Design appropriate data models using relational, dimensional, or other modelling techniques, selecting approaches based on the requirements of analytics, reporting, and data science use
• Collaborate across multiple teams and client stakeholders to design and deliver end to end data and AI solutions within the wider client technology
• Work across cloud based data platforms and services (e.g. AWS, Azure, or GCP)
• Design and deliver data solutions that are functionally correct and fit for purpose, while meeting non functional requirements such as security, performance, resilience, and maintainability
• Support and guide junior engineers through technical leadership and mentoring
• Contribute to platform and engineering standards, best practices, and continuous improvement across engagements

Required education

None

Preferred education

Bachelor's Degree

Required technical and professional expertise

• Strong experience with Python, SQL, and data engineering frameworks or tools
• Proven experience designing and delivering data pipelines and data platforms in a professional environment
• Hands on experience with cloud data services (e.g. Azure Data Factory, Databricks, Synapse, AWS Glue, Redshift, BigQuery, or equivalents)
• Experience working with relational and/or NoSQL databases
• Solid understanding of data modelling, integration patterns, and data quality principles
• Strong problem solving and communication skills, with experience working in multidisciplinary delivery teams

This role is subject to pre-employment screening in line with the UK Government’s Baseline Personnel Security Standard (BPSS). An additional range of Personal Security Controls referred to as National Security Vetting (NVS) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV).

Preferred technical and professional experience

• Familiarity with data pipeline orchestration tools (e.g., Apache Airflow, Luigi).
• Knowledge of data quality and metadata management practices.
• Understanding of data virtualisation and data federation techniques.
• Experience with big data technologies (e.g., Hadoop, Spark).
• Experience supporting analytics, data science, or machine learning use cases
• Exposure to streaming or event driven architectures (e.g. Kafka or equivalent)
• Experience with CI/CD, infrastructure as code, or platform automation
• Background delivering solutions in regulated or security constrained environments such as public sector or financial services

IBM Consulting is IBM’s consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients’ businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet.

In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

Are you ready to be an IBMer?

IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

IBM wants you to bring your whole self to work and for you this might mean the ability to work flexibly. If you are interested in a flexible working pattern, please talk to our recruitment team to find out if this is possible in the current working environment.

Job Title

Job ID

114161

City / Township / Village

State / Province

Hampshire, London, City of, Manchester, Leicester

Country

United Kingdom

Work arrangement

Hybrid

Area of work

Data & Analytics

Employment type

Regular

Position type

Professional

Up to 80% or 4 days a week (home on weekends - based on project requirements)

Company

Shift

General (daytime)

Is this role a commissionable/sales incentive based position?