Big Data Platform Senior Engineer Job at Citi (Seef, Manama)

Senior Principal Data Platform Software Engineer

We’re looking for a Sr Principal Data Platform Software Engineer (P70) to be a k...

Location

Salary:

239400.00 - 312550.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

15+ years in Data Engineering, Software Engineering, or related roles, with substantial exposure to big data ecosystems
Demonstrated experience building and operating data platforms or large‑scale data services in production
Proven track record of building services from the ground up (requirements → design → implementation → deployment → ongoing ownership)
Hands‑on experience with AWS, GCP (e.g., compute, storage, data, and streaming services) and cloud‑native architectures
Practical experience with big data technologies, such as Databricks, Apache Spark, AWS EMR, Apache Flink, or StarRocks
Strong programming skills in one or more of: Kotlin, Scala, Java, Python
Experience leading cross‑team technical initiatives and influencing senior stakeholders
Experience mentoring Staff/Principal engineers and lifting the technical bar for a team or org
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience

Job Responsibility

Design, develop and own delivery of high quality big data and analytical platform solutions aiming to solve Atlassian’s needs to support millions of users with optimal cost, minimal latency and maximum reliability
Improve and operate large‑scale distributed data systems in the cloud (primarily AWS, with increasing integration with GCP and Kubernetes‑based microservices)
Drive the evolution of our high-performance analytical databases and its integrations with products, cloud infrastructures (AWS and GCP) and isolated cloud environments
Help define and uplift engineering and operational standards for petabyte scale data platforms, with sub‑second analytic queries and multi‑region availability (coding guidelines, code review practices, observability, incident response, SLIs/SLOs)
Partner across multiple product and platform teams (including Analytics, Marketplace/Ecosystem, Core Data Platform, ML Platform, Search, and Oasis/FedRAMP) to deliver company‑wide initiatives that depend on reliable, high‑quality data
Act as a technical mentor and multiplier, raising the bar on design quality, code quality, and operational excellence across the broader team
Design and implement self‑healing, resilient data platforms with strong observability, fault tolerance, and recovery characteristics
Own the long‑term architecture and technical direction of Atlassian’s product data platform with projects that are directly tied to Atlassian’s company-level OKRs
Be accountable for the reliability, cost efficiency, and strategic direction of Atlassian’s product analytical data platform
Partner with executives and influence senior leaders to align engineering efforts with Atlassian’s long-term business objectives

What we offer

health and wellbeing resources
paid volunteer days

Fulltime

Senior Data Engineer

We are looking for a Data Engineer to join our team and support with designing, ...

Location

Salary:

Not provided

Foundever

Expiration Date

Until further notice

Requirements

Minimum of 7 years plus experience in data engineering
Track record of deploying and maintaining complex data systems at an enterprise level within regulated environments
Expertise in implementing robust data security measures, access controls, and monitoring systems
Proficiency in data modeling and database management
Strong programming skills in Python and SQL
Knowledge of big data technologies like Hadoop, Spark, and NoSQL databases
Deep experience with ETL processes and data pipeline development
Strong understanding of data warehousing concepts and best practices
Experience with cloud platforms such as AWS and Azure
Excellent problem-solving skills and attention to detail

Job Responsibility

Design and optimize complex data storage solutions, including data warehouses and data lakes
Develop, automate, and maintain data pipelines for efficient and scalable ETL processes
Ensure data quality and integrity through data validation, cleansing, and error handling
Collaborate with data analysts, machine learning engineers, and software engineers to deliver relevant datasets or data APIs for downstream applications
Implement data security measures and access controls to protect sensitive information
Monitor data infrastructure for performance and reliability, addressing issues promptly
Stay abreast of industry trends and emerging technologies in data engineering
Document data pipelines, processes, and best practices for knowledge sharing
Lead data governance and compliance efforts to meet regulatory requirements
Collaborate with cross-functional teams to drive data-driven decision-making within the organization

What we offer

Impactful work
Professional growth
Competitive compensation
Collaborative environment
Attractive salary and benefits package
Continuous learning and development opportunities
A supportive team culture with opportunities for occasional travel for training and industry events

Senior Data Engineer

Adtalem is a data driven organization. The Data Engineering team builds data sol...

Location

United States , Lisle

Salary:

84835.61 - 149076.17 USD / Year

Adtalem Global Education

Expiration Date

Until further notice

Requirements

Bachelor's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field.
Master's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field.
Two (2) plus years experience in Google cloud with services like BigQuery, Composer, GCS, DataStream, Dataflows, BQML, Vertex AI.
Six (6) plus years experience in data engineering solutions such as data platforms, ingestion, data management, or publication/analytics.
Hands-on experience working with real-time, unstructured, and synthetic data.
Experience in Real Time Data ingestion using GCP PubSub, Kafka, Spark or similar.
Expert knowledge on Python programming and SQL.
Experience with cloud platforms (AWS, GCP, Azure) and their data services
Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed.
Familiarity with synthetic data generation and unstructured data processing

Job Responsibility

Architect, develop, and optimize scalable data pipelines handling real-time, unstructured, and synthetic datasets
Collaborate with cross-functional teams, including data scientists, analysts, and product owners, to deliver innovative data solutions that drive business growth.
Design, develop, deploy and support high performance data pipelines both inbound and outbound.
Model data platform by applying the business logic and building objects in the semantic layer of the data platform.
Leverage streaming technologies and cloud platforms to enable real-time data processing and analytics
Optimize data pipelines for performance, scalability, and reliability.
Implement CI/CD pipelines to ensure continuous deployment and delivery of our data products.
Ensure quality of critical data elements, prepare data quality remediation plans and collaborate with business and system owners to fix the quality issues at its root.
Document the design and support strategy of the data pipelines
Capture, store and socialize data lineage and operational metadata

What we offer

Health, dental, vision, life and disability insurance
401k Retirement Program + 6% employer match
Participation in Adtalem’s Flexible Time Off (FTO) Policy
12 Paid Holidays
Eligible to participate in an annual incentive program

Fulltime

Senior Data Engineer

Senior Data Engineer – Dublin (Hybrid) Contract Role | 3 Days Onsite. We are see...

Location

Ireland , Dublin

Salary:

Not provided

Solas IT Recruitment

Expiration Date

Until further notice

Requirements

7+ years of experience as a Data Engineer working with distributed data systems
4+ years of deep Snowflake experience, including performance tuning, SQL optimization, and data modelling
Strong hands-on experience with the Hadoop ecosystem: HDFS, Hive, Impala, Spark (PySpark preferred)
Oozie, Airflow, or similar orchestration tools
Proven expertise with PySpark, Spark SQL, and large-scale data processing patterns
Experience with Databricks and Delta Lake (or equivalent big-data platforms)
Strong programming background in Python, Scala, or Java
Experience with cloud services (AWS preferred): S3, Glue, EMR, Redshift, Lambda, Athena, etc.

Job Responsibility

Build, enhance, and maintain large-scale ETL/ELT pipelines using Hadoop ecosystem tools including HDFS, Hive, Impala, and Oozie/Airflow
Develop distributed data processing solutions with PySpark, Spark SQL, Scala, or Python to support complex data transformations
Implement scalable and secure data ingestion frameworks to support both batch and streaming workloads
Work hands-on with Snowflake to design performant data models, optimize queries, and establish solid data governance practices
Collaborate on the migration and modernization of current big-data workloads to cloud-native platforms and Databricks
Tune Hadoop, Spark, and Snowflake systems for performance, storage efficiency, and reliability
Apply best practices in data modelling, partitioning strategies, and job orchestration for large datasets
Integrate metadata management, lineage tracking, and governance standards across the platform
Build automated validation frameworks to ensure accuracy, completeness, and reliability of data pipelines
Develop unit, integration, and end-to-end testing for ETL workflows using Python, Spark, and dbt testing where applicable

Senior Data Engineer – Data Engineering & AI Platforms

We are looking for a highly skilled Senior Data Engineer (L2) who can design, bu...

Location

India , Chennai, Madurai, Coimbatore

Salary:

Not provided

OptiSol Business Solutions

Expiration Date

Until further notice

Requirements

Strong hands-on expertise in cloud ecosystems (Azure / AWS / GCP)
Excellent Python programming skills with data engineering libraries and frameworks
Advanced SQL capabilities including window functions, CTEs, and performance tuning
Solid understanding of distributed processing using Spark/PySpark
Experience designing and implementing scalable ETL/ELT workflows
Good understanding of data modeling concepts (dimensional, star, snowflake)
Familiarity with GenAI/LLM-based integration for data workflows
Experience working with Git, CI/CD, and Agile delivery frameworks
Strong communication skills for interacting with clients, stakeholders, and internal teams

Job Responsibility

Design, build, and maintain scalable ETL/ELT pipelines across cloud and big data platforms
Contribute to architectural discussions by translating business needs into data solutions spanning ingestion, transformation, and consumption layers
Work closely with solutioning and pre-sales teams for technical evaluations and client-facing discussions
Lead squads of L0/L1 engineers—ensuring delivery quality, mentoring, and guiding career growth
Develop cloud-native data engineering solutions using Python, SQL, PySpark, and modern data frameworks
Ensure data reliability, performance, and maintainability across the pipeline lifecycle—from development to deployment
Support long-term ODC/T&M projects by demonstrating expertise during technical discussions and interviews
Integrate emerging GenAI tools where applicable to enhance data enrichment, automation, and transformations

What we offer

Opportunity to work at the intersection of Data Engineering, Cloud, and Generative AI
Hands-on exposure to modern data stacks and emerging AI technologies
Collaboration with experts across Data, AI/ML, and cloud practices
Access to structured learning, certifications, and leadership mentoring
Competitive compensation with fast-track career growth and visibility

Fulltime

Senior Director - Data Engineering & Machine Learning

Lead the Data Revolution at Modus Create. At Modus Create, we empower the world’...

Location

Canada

Salary:

Not provided

Modus Create

Expiration Date

Until further notice

Requirements

15+ years in data or software engineering roles
7+ years leading Data Engineering/ML teams—ideally at scale or in global consulting contexts
Hands-on experience with cloud data platforms, big data toolchains (Spark, Kafka), data transformation tools (Airflow, dbt), and ML platforms
Success in pre-sales, solutioning, and growing data/ML engagements within enterprise or mid-market accounts
Demonstrated ability to create enablement programs, uplift team capabilities, and grow inclusive, high-performing engineering cultures
Deep empathy for client pain points and the ability to craft and deliver impactful, measurable solutions
Excellent across technical, executive, and cross-functional settings, with an ability to successfully navigate diverse cultural differences

Job Responsibility

Build Modern Data Platforms
Design and oversee architecture for cloud-native data platforms, pipelines, and streaming systems on AWS, Azure, or GCP
Ensure robust solutions using platforms such as Databricks, Snowflake, Redshift, BigQuery, Spark, Kafka, Airflow, dbt, and Kubernetes
Deliver Products that are Intelligent
Define and drive responsible ML strategy, from model development to integration, using platforms like SageMaker, Azure ML, or TensorFlow
Enable smarter client experiences by embedding ML into applications, automation, and analytics
Lead & Grow Teams
Foster a culture of trust, continuous learning, and experimentation by hiring, mentoring, and empowering distributed teams of data and ML engineers
Define career paths, feedback frameworks, and learning programs grounded in a culture of experimentation,continuous growth, and a sense of belonging at every level
Shape Technical Strategy & Best Practices

What we offer

Remote work with flexible working hours
Modus Global Office Programme:for when you want to get out of your home, we offer on-demand access to private offices, meeting rooms, coworking spaces and business lounges in locations in over 120 countries
Employee Referral Program
Client Referral Program
Travel according to client or team needs
The chance to work side-by-side with thought leaders in emerging tech
Access to more than 12,000 courses with a licensed Coursera account
Possibility to obtain paid certification/courses if they align with company goals and are relevant to the employee's role

Fulltime

Senior Data Engineer

Madbox is a fast-growing mobile gaming company. We are looking for a Senior Data...

Location

Spain , Barcelona

Salary:

Not provided

Madbox

Expiration Date

Until further notice

Requirements

Master’s degree in Engineering, Computer Science, or equivalent
4+ years of proven experience in Big Data systems architecture and data pipelines
Experience with both SQL and NoSQL databases is required
Strong proficiency in Python
Proven experience with cloud platforms (preferably GCP) and their data services
Hands-on experience setting up and monitoring CI/CD pipelines
Proficient with orchestration tools (ideally Airflow)
Strong communication skills
Analytical and problem-solving mindset with attention to detail
Autonomous, proactive, and always looking for opportunities to improve solutions and processes

Job Responsibility

Start by onboarding on our full Data Stack, both technically (GCP, streaming, big data) and from a business logic perspective
Take ownership of end-to-end data pipelines, ensuring scalability, reliability, and maintainability
Continuously improve our data stack, proposing technical evolutions, monitoring infrastructure performance, and optimizing costs
Contribute to the growth and mentoring of junior profiles, providing guidance, sharing best practices, and supporting their development within the team
Design and optimize data models tailored to solve complex analytical and business requirements
Ensure data quality through cleansing, unit testing, and embedded DQA processes
Communicate effectively with technical and non-technical stakeholders, explaining solutions clearly and constructively
Demonstrate autonomy and decision-making skills, moving projects forward while keeping stakeholders informed
Take a key part in building and maintaining the Data Engineering roadmap, covering infrastructure, robustness, and business-driven initiatives

Senior Data Engineering Architect

Location

Poland

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

Proven work experience as a Data Engineering Architect or a similar role and strong experience in in the Data & Analytics area
Strong understanding of data engineering concepts, including data modeling, ETL processes, data pipelines, and data governance
Expertise in designing and implementing scalable and efficient data processing frameworks
In-depth knowledge of various data technologies and tools, such as relational databases, NoSQL databases, data lakes, data warehouses, and big data frameworks (e.g., Hadoop, Spark)
Experience in selecting and integrating appropriate technologies to meet business requirements and long-term data strategy
Ability to work closely with stakeholders to understand business needs and translate them into data engineering solutions
Strong analytical and problem-solving skills, with the ability to identify and address complex data engineering challenges
Proficiency in Python, PySpark, SQL
Familiarity with cloud platforms and services, such as AWS, GCP, or Azure, and experience in designing and implementing data solutions in a cloud environment
Knowledge of data governance principles and best practices, including data privacy and security regulations

Job Responsibility

Collaborate with stakeholders to understand business requirements and translate them into data engineering solutions
Design and oversee the overall data architecture and infrastructure, ensuring scalability, performance, security, maintainability, and adherence to industry best practices
Define data models and data schemas to meet business needs, considering factors such as data volume, velocity, variety, and veracity
Select and integrate appropriate data technologies and tools, such as databases, data lakes, data warehouses, and big data frameworks, to support data processing and analysis
Create scalable and efficient data processing frameworks, including ETL (Extract, Transform, Load) processes, data pipelines, and data integration solutions
Ensure that data engineering solutions align with the organization's long-term data strategy and goals
Evaluate and recommend data governance strategies and practices, including data privacy, security, and compliance measures
Collaborate with data scientists, analysts, and other stakeholders to define data requirements and enable effective data analysis and reporting
Provide technical guidance and expertise to data engineering teams, promoting best practices and ensuring high-quality deliverables. Support to team throughout the implementation process, answering questions and addressing issues as they arise
Oversee the implementation of the solution, ensuring that it is implemented according to the design documents and technical specifications

What we offer

Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites
Workation. Enjoy working from inspiring locations in line with our workation policy
Great Place to Work® certified employer
Flexibility regarding working hours and your preferred form of contract
Comprehensive online onboarding program with a “Buddy” from day 1
Cooperation with top-tier engineers and experts
Unlimited access to the Udemy learning platform from day 1
Certificate training programs. Lingarians earn 500+ technology certificates yearly
Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly
Grow as we grow as a company. 76% of our managers are internal promotions

Big Data Platform Senior Engineer

Citi

Location:
Bahrain , Seef, Manama

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
November 21, 2025

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