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845 Big Data Engineer Aws Redshift Kafka To 100k id37553 jobs in the United Kingdom

Big Data Engineer - AWS Redshift + Kafka - to £100k ID37553

Humand Talent

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Job Description

Are you ready to level up your career and work on projects that really matter?


This role is all about you – growing your skills, taking on new challenges, and making a real difference every day.


Why This Role is Perfect for You:


• Learn and Grow:

Get stuck into using the latest AWS tools like Redshift, S3, and Kafka. You will be designing data models and building ETL pipelines, which means you are always learning something new and adding valuable skills to your toolkit.


• Make a Real Impact:

Your work will not just be about crunching numbers. By turning raw data into clear insights, you will help shape decisions that drive the business forward. It is a great feeling to know that what you do matters.


• Step Up Your Leadership Game:

With opportunities to mentor junior team members, you will be building leadership skills that can set you up for future management roles. Sharing your knowledge and helping others grow is not only rewarding but also a fantastic boost to your career.


• Exciting, Varied Work:

Every day brings something new. Whether you are creating engaging dashboards with Tableau or integrating data from different sources via APIs, you will always have fresh challenges that keep your work interesting.


• A Supportive Environment:

Work in a team that truly cares about your future. Enjoy flexible hybrid working options, free gym membership, chef-prepared meals, and plenty of holiday days so you can maintain a healthy work life balance.


What You Will Be Doing:

• Build and fine tune data models for both batch and real time processing.

• Design and maintain robust ETL pipelines that pull data from multiple sources.

• Analyse data to uncover trends that guide key business decisions.

• Create clear, engaging dashboards and reports using Tableau.

• Enhance our data infrastructure with a focus on scalability and security.

• Mentor and support junior team members, helping everyone to learn and grow.


Diversity and Inclusion:

We truly believe that a mix of different perspectives makes us stronger. We are committed to creating a welcoming environment for everyone regardless of gender, race, religion or belief, disability, age, pregnancy and maternity, marriage and civil partnership, sexual orientation, or gender reassignment. Your unique viewpoint is what makes us better.


This is not just another job. It is a chance to build a bright future for yourself, work on projects that keep you engaged, and join a team that values your growth as much as its own success.


If you are ready to take the next step in your career, we would love to hear from you. Apply now and let us start this journey together!

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Big Data Engineer

London, London London £100000 - £115000 Annually Tec Partners

Posted 5 days ago

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Job Description

permanent

Company

TEC Partners are working with a world leading defence and security company who work in collaboration with governments across the world to ensure international security across land, sea and air. They are leaders in highly sensitive international protection and continually seek to lead the way for innovation in their domain.

About this Big Data Engineer Role

As a Big Data Engineer, you will play a crucial role in creating and maintaining systems to support our client's data science, AI and machine learning workloads. You will be required to work in a collaborative nature with different departments and ensure effective data integration.

Why Work as a Big Data Engineer with Our Client?

  • Competitive salary up to 115,000
  • Flexible working hours
  • Private healthcare
  • Holiday buy and sell
  • Career development
  • Performance bonus

What is Expected of you as a Big Data Engineer with Our Client?

  • UKIC security vetting
  • A minimum of 5 years of experience of working with Big Data as a Data Engineer
  • Excellent communication skills and the ability to work in a collaborative nature with the wider team and explain complex technical details to those of varying technical literacy
  • The ability to create scalable big data pipelines
  • A strong background in automation and scripting to Develop and maintain scripts to streamline data workflows.

Responsibilities of a Big Data Engineer with Our Client

  • The ability to troubleshoot big data environment and optimize pipelines
  • Conduct end-to-end testing to ensure seamless tool and system integrations across the data stack.
  • Design and support secure, scalable systems using network protocols (TCP/IP, OSI)
  • Enable machine learning and AI workflows through tools like Jupyter, SpaCy, Transformers, and NLTK.
  • Implement and support BI tools (Tableau, Power BI, Kibana) to drive actionable insights from complex data sets.

If you are interested in this Big Data Engineer role and would like to learn more about it or other Data opportunities, please contact Stuart at TEC Partners today.

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Big Data Engineer

London, London London TEC Partners - Technical Recruitment Specialists

Posted 3 days ago

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Job Description

Company

TEC Partners are working with a world leading defence and security company who work in collaboration with governments across the world to ensure international security across land, sea and air. They are leaders in highly sensitive international protection and continually seek to lead the way for innovation in their domain.


About this Big Data Engineer Role

As a Big Data Engineer, you will play a crucial role in creating and maintaining systems to support our client’s data science, AI and machine learning workloads. You will be required to work in a collaborative nature with different departments and ensure effective data integration.


Why Work as a Big Data Engineer with Our Client?

  • Competitive salary up to £115,000
  • Flexible working hours
  • Private healthcare
  • Holiday buy and sell
  • Career development
  • Performance bonus


What is Expected of you as a Big Data Engineer with Our Client?

  • You will need to hold current eDV or UKIC security vetting
  • A minimum of 5 years of experience of working with Big Data as a Data Engineer
  • Excellent communication skills and the ability to work in a collaborative nature with the wider team and explain complex technical details to those of varying technical literacy
  • The ability to create scalable big data pipelines
  • A strong background in automation and scripting to Develop and maintain scripts to streamline data workflows.


Responsibilities of a Big Data Engineer with Our Client

  • The ability to troubleshoot big data environment and optimize pipelines
  • Conduct end-to-end testing to ensure seamless tool and system integrations across the data stack.
  • Design and support secure, scalable systems using network protocols (TCP/IP, OSI)
  • Enable machine learning and AI workflows through tools like Jupyter, SpaCy, Transformers, and NLTK.
  • Implement and support BI tools (Tableau, Power BI, Kibana) to drive actionable insights from complex data sets.


If you are interested in this Big Data Engineer role and would like to learn more about it or other Data opportunities, please contact Stuart at TEC Partners today.

This advertiser has chosen not to accept applicants from your region.

Big Data Engineer

TEC Partners - Technical Recruitment Specialists

Posted 3 days ago

Job Viewed

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Job Description

Company

TEC Partners are working with a world leading defence and security company who work in collaboration with governments across the world to ensure international security across land, sea and air. They are leaders in highly sensitive international protection and continually seek to lead the way for innovation in their domain.


About this Big Data Engineer Role

As a Big Data Engineer, you will play a crucial role in creating and maintaining systems to support our client’s data science, AI and machine learning workloads. You will be required to work in a collaborative nature with different departments and ensure effective data integration.


Why Work as a Big Data Engineer with Our Client?

  • Competitive salary up to £115,000
  • Flexible working hours
  • Private healthcare
  • Holiday buy and sell
  • Career development
  • Performance bonus


What is Expected of you as a Big Data Engineer with Our Client?

  • You will need to hold current eDV or UKIC security vetting
  • A minimum of 5 years of experience of working with Big Data as a Data Engineer
  • Excellent communication skills and the ability to work in a collaborative nature with the wider team and explain complex technical details to those of varying technical literacy
  • The ability to create scalable big data pipelines
  • A strong background in automation and scripting to Develop and maintain scripts to streamline data workflows.


Responsibilities of a Big Data Engineer with Our Client

  • The ability to troubleshoot big data environment and optimize pipelines
  • Conduct end-to-end testing to ensure seamless tool and system integrations across the data stack.
  • Design and support secure, scalable systems using network protocols (TCP/IP, OSI)
  • Enable machine learning and AI workflows through tools like Jupyter, SpaCy, Transformers, and NLTK.
  • Implement and support BI tools (Tableau, Power BI, Kibana) to drive actionable insights from complex data sets.


If you are interested in this Big Data Engineer role and would like to learn more about it or other Data opportunities, please contact Stuart at TEC Partners today.

This advertiser has chosen not to accept applicants from your region.

Big Data Engineer

London, London London Northrop Grumman

Posted 23 days ago

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UK CITIZENSHIP REQUIRED FOR THIS POSITION: Yes
RELOCATION ASSISTANCE: Relocation assistance may be available
CLEARANCE TYPE: UK-Highest Level of Government Clearance
TRAVEL: Yes, 10% of the Time
**Salary: £77,400 - £116,000**
**Define Possible at Northrop Grumman UK**
At Northrop Grumman UK, our mission is to solve the most complex challenges by shaping the technology and solutions of tomorrow. We call it Defining Possible.
This mind-set goes beyond our customer solutions; it's the foundation for your career development and the impact we have within the community. So, what's your possible?
**Opportunity:**
This is more than just a job; it's a mission.
As a Big Data Systems Engineer, you will be responsible for designing, implementing, and maintaining scalable big data systems that support our data science, machine learning, and AI workloads. You will work closely with cross-functional teams to ensure seamless data integration, security, and compliance with GDPR and privacy regulations. Your expertise in scripting, troubleshooting, and integration testing will be essential in optimizing our data pipelines and orchestration processes.
Our UK Cyber & Intelligence business combines modern software development approaches with a rich heritage and experience in the Defence and security sectors. Our customers have complex and sensitive data and information requirements requiring a mission partner who quickly understands the context, delivering and sustaining a portfolio of challenging technology projects at scale and pace, supporting them through an ambitious digital transformation programme.
If you are looking for a career with meaning where you can make a difference to the nation's security and support critical missions, then look no further.
_"My purpose; to lead a team of engineers with the brightest minds, to push the boundaries and define possible together."_
**Role responsibilities:**
+ Scripting and Automation: Develop and maintain scripts for automating data processes and workflows.
+ Troubleshooting: Diagnose and resolve technical issues related to big data systems, data pipelines, and integrations.
+ Integration Testing: Conduct thorough testing to ensure seamless integration of new tools and technologies into existing systems.
+ Linux Internals: Utilize in-depth knowledge of Linux internals to optimize performance and reliability of big data infrastructure.
+ Network Protocols: Apply understanding of TCP/IP and OSI models in the design and troubleshooting of networked systems.
+ Data Pipeline Support: Manage and optimize data pipelines and orchestration tools such as NiFi and Airflow.
+ Scalable System Design: Design scalable big data systems with a focus on security, GDPR compliance, and privacy
+ Hybrid Cloud Management: Leverage hybrid cloud experience to manage on-premise and AWS cloud resources effectively
+ Data Science Support: Support data science, machine learning, and AI workloads using tools like Jupyter, Spacy, Transformers, and NLTK.
+ Big Data Platforms: Utilize big data NoSQL engines and platforms such as Hive, Impala, and Elasticsearch for data storage and processing
+ BI and Visualization: Implement and support business intelligence and visualization tools like Tableau, Kibana, and PowerBI to provide actionable insights.
**We are looking for:**
+ Strong troubleshooting skills and the ability to diagnose and resolve complex technical issues.
+ Experience with integration testing and ensuring seamless tool integration.
+ In-depth knowledge of Linux internals and system administration.
+ Understanding of TCP/IP and OSI models.
+ Hands-on experience with data pipeline tools like NiFi and Airflow.
+ Proven ability to design scalable big data systems with a focus on security and GDPR compliance.
+ Hybrid cloud experience, specifically with on-premise and AWS cloud environments.
+ Familiarity with data science, machine learning, and AI tools such as Jupyter, Spacy, Transformers, and NLTK.
+ Experience with big data NoSQL engines/platforms such as Hive, Impala, and Elasticsearch.
+ Proficiency with business intelligence and visualization tools like Tableau, Kibana, and PowerBI.
+ Excellent communication and collaboration skills.
Preferred Qualifications:
+ Certification in AWS or other cloud platforms.
+ Experience with additional data orchestration tools.
+ Familiarity with other big data tools and technologies.
+ Previous experience in a similar role within a dynamic and fast-paced environment.
Experience in Cloudera, Hadoop, Cloudera Data Science Workbench (CDSW), Cloudera Machine Learning (CML) would be highly desirable.
**Work Environment:**
+ Full time on-site presence required
**If you don't meet every single requirement, we still encourage you to apply.**
Sometimes, people hesitate to apply because they can't tick every box. We encourage you to apply if you believe the role will suit you well, even if you don't meet all the criteria. You might be exactly who we are looking for, either for this position or for our opportunities at Northrop Grumman UK. We are on an exciting growth trajectory and growing our teams across the UK.
**Security clearance:**
You must hold the highest level of UK Government security clearance. Our requirement team is on hand to answer any questions and we will guide you through the process: .
**Benefits:**
We can offer you a range of flexible working options to suit you, including optional compressed working schedule with every other Friday off. Our benefits including private health care, cash health plan, holiday buy and sell, career development opportunities and performance bonuses. For a comprehensive list of benefits, speak to our recruitment team.
**Why join us?**
+ **A mission to believe in** **-** Every day we contribute to building a more secure and connected world, expanding our reach from land, sea, and air to space and cyberspace. From engineering data and intelligence solutions, to developing maritime navigation and control systems and innovating command and control systems for the UK and NATO, what we do together matters.
+ **A place to belong and thrive** **-** Every voice matters at our table meaning you can bring your authentic self to work. From our Employee Resource Groups backed by thousands of employees to our partnerships with the Association For Black and Minority Ethnic Engineers, Forces Transition Group, Mind, and Women in Defence - we are passionate about growing and supporting our inclusive community where everyone can belong.
+ **Your career, your way** - Shape your career journey with diverse roles, mentorship, and development opportunities that fuel your curiosity, channel your expertise, and nurture your passion. Looking for flexibility? Balance your professional career with your personal life through our health and wellbeing benefits, discount schemes, and investment in your future development. Speak to our team to find the balance that's right for you.
**Ready to apply?**
**Yes** - Submit your application online. Your application will be reviewed by our team and we will be in touch.
**Possibly, I'd like to find out more** **about this role** - Reach out to our team for more information and support: .
**No, I don't think this role is right for me** - Our extensive UK growth means we have exciting, new opportunities opening all the time. Speak to our team to discuss your career goals.
Northrop Grumman is committed to hiring and retaining a diverse workforce, and encourages individuals from all backgrounds and all abilities to apply and consider becoming a part of our diverse and inclusive workforce.
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Data Engineer - Big Data

Gloucester, South West £450 - £550 Daily BrightBox Group

Posted 10 days ago

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Job Description

contract
Data Engineer
Hybrid working (2-3 days per week in Gloucester)
450-550 per day (inside IR35)

We are seeking a skilled, Security Cleared, Data Engineer to join our team. The ideal candidate will have a strong background in data architecture and engineering, specifically within the AWS ecosystem. You will be responsible for designing and implementing data pipelines that support large-scale data processing and analytics.

Key Responsibilities:
- Develop, construct, test, and maintain data architectures and data processing systems.
- Collaborate with data scientists and analysts to understand data requirements and ensure data availability.
- Design and optimise data models to support business intelligence and reporting needs.
- Monitor and troubleshoot data systems to ensure high availability and performance.
- Implement best practises for data management, security, and compliance.

Required Skills:
- Active Security Clearance
- Proficiency in AWS services related to data processing and storage, such as Amazon S3, Redshift, and EMR.
- Strong experience with big data technologies and frameworks.
- Solid understanding of data modelling, ETL processes, and database management.
- Ability to work effectively in a team environment and communicate technical concepts clearly to non-technical stakeholders.
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Principle Data Engineer ( AWS & Airflow )

London, London London £115000 - £125000 Annually 83zero Ltd

Posted 9 days ago

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Job Description

permanent

Job Title: Principal Data Engineer

Location: London, UK - Hybrid (Liverpool Street office)

Department: Data & Engineering

Reports To: Head of Data Science

Employment Type: Permanent

A leading global payments and fintech platform , empowering clients to innovate and scale. Their mission is to create frictionless, secure, and intelligent payment solutions that unlock value across banking, financial services, and digital assets.

As they continue to scale their data infrastructure , they're seeking a seasoned Principal Data Engineer to help design, build, and optimise a modern data platform, with a focus on orchestration (Airflow), scalable data warehouse architecture, and high-performance pipelines.

The ideal candidate will bring both technical depth and strategic thinking , with the ability to communicate effectively across business and technical teams.

Key Responsibilities

  • Design and lead the development of scalable, secure, and high-performance data warehouse solutions for BI and analytics.
  • Define and drive the long-term architecture and data strategy in alignment with business goals.
  • Own orchestration of ETL/ELT workflows using Apache Airflow , including scheduling, monitoring, and alerting.
  • Collaborate with cross-functional teams (Product, Engineering, Data Science, Compliance) to define data requirements and build reliable data flows.
  • Champion best practices in data modelling, governance, and DevOps for data engineering (CI/CD, IaC).
  • Serve as a key communicator between technical teams and business stakeholders, translating complex data needs into actionable plans.
  • Mentor and lead data engineers, fostering continuous learning and technical excellence.
  • Ensure compliance with data security , privacy, and regulatory standards (e.g., PCI-DSS , GDPR ).

Essential:

  • 7+ years in Data Engineering, with 2+ years in a Principal or Lead role.
  • Proven experience designing and delivering enterprise data strategies .
  • Exceptional communication and stakeholder management skills.
  • Expertise in enterprise-grade data warehouses (Snowflake, BigQuery, Redshift).
  • Hands-on experience with Apache Airflow (or similar orchestration tools).
  • Strong proficiency in Python and SQL for pipeline development.
  • Deep understanding of data architecture, dimensional modelling, and metadata management.
  • Experience with cloud platforms (AWS, GCP, or Azure).
  • Familiarity with version control, CI/CD , and Infrastructure-as-Code (Terraform or similar).

Desirable:

  • Background in fintech or payments.
  • Knowledge of streaming frameworks (Kafka, Kinesis).
  • Experience with dbt and data quality frameworks (e.g., Great Expectations ).

What's on Offer

  • Competitive base salary + bonus
  • Flexible hybrid working model (Liverpool Street office)
  • Private healthcare & wellness benefits
  • Learning and development support
  • The opportunity to shape the future of payments data infrastructure
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Senior Data Engineer (SQL/AWS)

Manchester, North West Adria Solutions Ltd

Posted 3 days ago

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Senior Data Engineer


My client is looking for a Senior Data Engineer to join their expanding data team. This is an excellent opportunity for someone who thrives in a collaborative, insight-driven environment and is passionate about leveraging data to deliver tangible business value.

This is not a role for someone just moving data from A to B with Python — it’s for someone who understands how to model, optimise, and apply data to support better business decisions.


Key Experience Required:

  • Expertise in SQL Server (approx. 75% of the role) including performance tuning, data warehousing, and reporting.
  • Experience with AWS data services (approx. 25%), particularly RDS, S3, Lambda, EventBridge, and building data pipelines in cloud-native environments.
  • Proven delivery of dimensional/Kimball data models in collaboration with Data Analysts.
  • Strong proficiency with Power BI, including performance optimisation and deployment strategies.
  • Hands-on experience with Python for automation and data transformation (not just file handling).
  • Understanding and experience of Data Governance frameworks and implementation.
  • Exposure to CI/CD pipelines and source control for reports and analytics.
  • Bonus: Familiarity with SageMaker or similar ML/predictive analytics platforms.


We're looking for someone who:

  • Thinks like a data user, not just a data builder – with a strong sense of how to deliver real-world business outcomes.
  • Is confident shaping and optimising data for analytical consumption.
  • Collaborates well with analysts, product owners, and stakeholders to translate problems into solutions.


Why Join?

  • Be part of a growing, innovation-led organisation committed to building intelligent, insight-driven systems.
  • Access excellent benefits including hybrid working, on-site gym, CSR days, birthday leave, and more.
  • Contribute to a high-impact, forward-looking data strategy with genuine business engagement.
  • Hybrid working policy: This role is classed as hybrid, with the expectation of just one day per month in the Manchester office.


Interested? Apply now to be part of a team where your work directly drives smarter decisions and impactful outcomes.


Senior Data Engineer

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AWS Data Engineer

Antrim, Northern Ireland Experis

Posted 10 days ago

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Job Description

contract

Role: Data Engineer

Location: Belfast

Duration: Long Term Contract Opportunity - Rolling Contract

Rate: Market Rates - Inside IR35

Job Description : Fujitsu's Decision Intelligence practice in the UK helps organisations bridge the gap between data and insights, empowering businesses to make smarter decisions, optimise operations, and drive innovation. From AI-powered analytics to data governance and security, we offer a comprehensive suite of services to help our Public and Private Sector customers unlock the full potential of their data.

Job Summary : We are seeking a skilled and experienced AWS Data Engineer to join our team. The successful candidate will be responsible for implementing, and managing data architecture solutions for our customers, with a strong emphasis on Cloud technologies (Preferably AWS) and tooling. This role requires understanding of data modelling, database design, and data integration techniques.

Key Responsibilities

  • Data Ingestion and Extraction: Design and implement efficient data ingestion pipelines to and from databases and file storage services.
  • Data Transformation and Cleaning: Transform and clean raw data to ensure data quality and consistency.
  • Data Pipelines: Build, maintain, and optimise data pipelines to automate data flows and enable real-time data processing.
  • Data Quality Assurance: Monitor data quality and implement measures to ensure data accuracy and completeness.
  • Database Administration: Manage and maintain databases (e.g., SQL, NoSQL) to ensure optimal performance and security.
  • Cloud Infrastructure: Deploy and manage data infrastructure on cloud platforms - Primarily AWS
  • Collaboration: Work closely with data analysts, data scientists, and other stakeholders to understand their data needs and deliver high-quality data solutions.

Key Skills

  • Strong proficiency in SQL, Python, and Spark. Experience with metadata-driven ETL/ELT.
  • Experience with AWS Glue, Databrew, S3, AWS Lambda, PostgreSQL, Quicksight
  • Version Control (Gitlab) and CI/CD
  • Familiar with security and networking principles, especially in an AWS deployment.
  • Understanding and experience handling both structured and unstructured data.
  • AWS focused with working experience and/or relevant certifications such as AWS Certified Data Engineer.
  • Experience with complex data migrations.
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration skills.
  • Understanding of Infrastructure as Code
  • Understanding of GIS data models

About you

At Fujitsu our people are our number one priority. We are passionate about developing you to your full potential, so you can perform every day at your best to deliver our vision to our customers. Learning and growing is at the heart of what we do. We recognise learning is a continuous process not an event. It doesn't just happen in the classroom, but every day, in the flow of work.

At Fujitsu we encourage you to challenge yourself and to shape your learning journey in a way that works best for you. You won't be alone in your journey, or short of opportunities to learn. We have a whole host of different tools, resources, and programs to help you achieve this. We've got you covered with everything from technical learning to management development, business skills to our award-winning talent programs.

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AWS Data Engineer

Randstad Digital

Posted 5 days ago

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Job Description

We're Hiring: AWS Data Engineer

Location: London (2-3 days in office)

Experience : 2+ Years

Degree: STEM/Business

Rate: £225 to 245 a day Umbrella

Duration : 6 months contract


We're looking for a Data Engineer to help power our innovation engine. You’ll design data models, build scalable ETL pipelines, codify business logic, and drive data integration across complex systems—structured and unstructured alike.

This is your chance to turn raw data into real business value using cutting-edge tech in a collaborative, forward-thinking team.


What You’ll Do:

  • Design & implement data models and scalable ETL/ELT pipelines
  • Map data sources, codify business logic, and build data flows
  • Develop data quality solutions & explore new technologies
  • Collaborate with analysts, developers, and business stakeholders

What You Bring:

  • 2+ years in data engineering or related roles
  • Bachelor’s in CS, Engineering, Mathematics, Finance, etc.
  • Proficiency in Python, SQL , and one or more: R, Java, Scala
  • Experience with relational/NoSQL databases (e.g., PostgreSQL, MongoDB)
  • Familiarity with big data tools (Hadoop, Spark, Kafka), cloud platforms (Azure, AWS, GCP), and workflow tools (Airflow, Luigi)
  • Bonus: experience with BI tools , API integrations , and graph databases


Why Join Us?

  • Work with large-scale, high-impact data
  • Solve real-world problems with a top-tier team
  • Flexible, fast-paced, and tech-forward environment


Apply now and help us build smarter, data-driven solutions.


#TechCareers #Innovation #Python #SQL #Spark #Kafka #Hadoop#DataEngineer #ETLDeveloper#BigDataEngineer#DataEngineering#AnalyticsJobs

#HiringNow#JobOpening#Careers

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