big data engineer

Swan Global WLL

Data Engineer (AMI)JOB PURPOSEThe role holder is responsible for designing, building, and maintaining the data infrastructure required to support AMI data collection, processing, storage, and analytics. The role ensures data availability, performance, scalability, and reliability for operational and analytical users.CORE RESPONSIBILITIES<ul><li>Designs, builds, and maintains scalable data infrastructure supporting AMI systems.</li><li>Develops and manages data pipelines integrating multiple data sources into AMI platforms.</li><li>Ensures data quality, consistency, availability, and performance for AMI monitoring and analytics teams.</li><li>Designs, optimizes, and maintains databases capable of handling large-scale metering data volumes.</li><li>Supports real-time and batch data processing requirements.</li><li>Collaborates with IT, cybersecurity, and operations teams to ensure secure and reliable data flow.</li><li>Monitors system performance and resolves data pipeline issues and bottlenecks.</li><li>Documents data architecture, workflows, and operational procedures.</li><li>Ensures compliance with IT governance, information security, and ISO standards.</li><li>Supports disaster recovery and business continuity planning related to data systems.</li><li>Performs other duties assigned by management.</li></ul>EDUCATION, EXPERIENCE &amp; SKILLSQualifications / CertificationsBachelor&rsquo;s degree in Computer Science, Information Systems, or a related discipline.Cloud / Data Engineering certification (AWS, Azure, or GCP).ExperienceMinimum 9 years of relevant experience in data engineering or similar roles.Key Skills<ul><li>Expertise in data pipeline design and development.</li><li>Proficiency with databases and big data technologies (Hadoop, Spark).</li><li>Strong analytical, problem-solving, and system optimization skills..</li><li>Written and Spoken English is essential; Arabic is preferred.</li></ul>Job Type &quot;Office-based technical role with coordination across IT and operations teams.Work Location: In person

Data Engineer (AMI)

Apple

The Apple Services Engineering team is one of the most exciting examples of Apple&rsquo;s long-held passion for combining art and technology. This team powers the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books, operating at massive scale and meeting Apple&rsquo;s high standards for performance and quality to deliver entertainment in over 35 languages across more than 150 countries. 
 
We are seeking a Software Engineer to join Apple Services Engineering (ASE) who brings a deep passion for building large-scale distributed data processing systems, frameworks, and platforms using big data technologies. 
 
Description 
 
As a team member of the ASE Analytics &amp; Data Engineering team, you will have significant responsibility and influence in shaping the team&rsquo;s future direction. This role is inherently cross-functional, and the ideal candidate will work closely across disciplines. We are looking for someone with a strong love for data and the ability to iterate quickly across all stages of the data pipeline lifecycle. 
 
This position involves working on a small, highly collaborative team to develop large-scale data pipelines and analytical solutions using big data technologies. Successful candidates will demonstrate strong engineering and communication skills, along with a belief that data-driven processes lead to exceptional products. You should have a passion for quality and an ability to understand and evolve sophisticated systems. 
 
&quot;,&quot;responsibilities&quot;:&quot;You will have the opportunity to: 
 
Work with a cross-functional team, collaborating with partners across product, engineering, operations, and business, and closely partner with stakeholders to translate requirements into scalable engineering solutions 
 
Help drive architectural vision to support future growth and opportunities 
 
Design, build, and maintain data pipelines and datasets that power key product features and insights, while protecting user privacy 
 
Own data quality, scalability, and SLAs for assigned datasets and pipelines 
 
Champion technical excellence and cultivate team spirit by contributing to best practices, documentation, shared tools, and solutions to common problems 
 
Preferred Qualifications 
 
Excellent collaboration and communication skills, with the ability to listen, influence, and drive solutions cohesively 
 
Minimum Qualifications 
 
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics, a related quantitative field, or equivalent practical experience 
 
6+ years of experience building production systems using Java and/or Scala, with strong proficiency in Java and/or Scala for large-scale distributed data processing and familiarity with functional programming paradigms. 
 
Deep understanding of distributed batch and streaming data processing systems such as Spark, Flink, and Kafka 
 
Experience with big data ecosystem technologies such as HDFS, Hadoop, S3, MPP database, Kubernetes and Airflow. 
 
Proven track record of designing, launching, and scaling production-quality data pipelines that power product features 
 
Strong data intuition, backed by solid SQL and data analysis skills 
 
Experience with GDPR compliance and best practices for collecting, processing, and sharing data responsibly 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,000 and $308,500, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Software Engineer, Big Data - Apple Services Engineering

Slalom

<div>
 
 
 
 Who You&rsquo;ll Work With
 
 
 
 
 
 
 At Slalom, we co-create custom software, data, and cloud products with clients who are ready to accelerate their digital transformation.&nbsp;We&rsquo;re&nbsp;passionate about technology and compelled by its potential &mdash; building digital products, experiences, and technology-driven organizations that drive true change.
 
 
 
 
 
 
 Our Data Architecture &amp; Engineering team sees data as the foundation for decision-making, artificial intelligence, and transformation. We embrace AI to scale with quality, innovate without fear, and use technology with
 
 
 purpose
 
 
 
 
 to unlock
 
 
 the full potential of data and
 
 
 create
 
 
 lasting impact.
 
 
 
 
 
 
 We&nbsp;demonstrate&nbsp;every day that talent, creativity, and technical excellence have no borders by delivering world-class solutions that inspire people to dream big and move faster.
 
 
 
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 
 
 
 
 As a Data Engineer at Slalom, you will work in collaborative teams to deliver innovative, scalable solutions across Amazon Web Services, Microsoft Azure, and Google Cloud Platform technologies.&nbsp;You&rsquo;ll&nbsp;stay ahead of emerging technologies and help shape the next generation of data platforms for some of the most forward-thinking organizations in data and analytics.
 
 
 
 
 
 
 Your day-to-day will include:
 
 
 
 <ul>
 <li>
 
 
 Designing and implementing components of clients&rsquo; data platform solutions, typically working under the direction of a Solution Architect
 
 
 </li>
 <li>
 
 
 Participating in design sessions and translating complex requirements into actionable development tasks
 
 
 </li>
 <li>
 
 
 Ensuringtimely, high-quality delivery of development items &mdash; both for yourself and for the data engineers you support
 
 
 </li>
 <li>
 
 
 Building solutions using modern data technologies: cloud data warehouses, distributed processing engines, event streaming platforms, and more
 
 
 </li>
 <li>
 
 
 Working across data engineering disciplines, including streaming/real-time data, modern data platforms, data architecture, and AI-accelerated data engineering
 
 
 </li>
 </ul>
 
 
 
 &nbsp;
 
 
 
 
 
 
 What&nbsp;You&rsquo;ll&nbsp;Bring
 
 
 
 
 
 
 You bring a curious mindset, a thirst for knowledge, and a hunger for fearless experimentation.&nbsp;You&rsquo;re&nbsp;a self-starter who breaks large problems into smaller ones, communicates proactively, and loves sharing what you learn with teammates and the broader Builder community.
 
 
 
 
 
 
 You have 4+ years of hands-on experience designing, building, and&nbsp;optimizing&nbsp;data engineering solutions in production environments, and deep familiarity with modern data technologies. Experience in most, but not all, of the following is expected:
 
 
 
 <ul>
 <li>
 
 
 Cloud Platforms &amp; Warehouses &mdash; Amazon Redshift, Snowflake, Google
 
 
 BigQuery
 
 
 , Azure Synapse Analytics, Amazon EMR
 
 
 </li>
 <li>
 
 
 Big Data &amp; Streaming &mdash; Apache Spark, Presto, Databricks, Amazon Kinesis, Apache Kafka
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 
 Workflow &amp; Orchestration &mdash; Apache Airflow,
 
 
 dbt
 
 
 ,
 
 
 Dagster
 
 
 , Azure Data Factory
 
 
 </li>
 <li>
 
 
 Databases, Containers &amp; ML &mdash; DynamoDB, Cosmos DB, MongoDB, Kubernetes, Amazon ECS, Amazon SageMaker, Azure ML Studio
 
 
 </li>
 <li>
 
 
 Programming Languages &mdash; Python, Java (object-oriented)
 
 
 </li>
 </ul>
 
 
 
 
 
 
 About Us
 
 
 
 
 
 
 Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries partner with clients to co-create powerful customer experiences, modern ways of working, and meaningful impact.
 
 
 
 
 
 
 What sets us apart? We believe work should be challenging and fulfilling, not perfect, but possible. That&rsquo;s why we prioritize purpose, flexibility, connection, and recognition, so our people can thrive and love what they do, most days.
 
 
 
 
 
 
 
 
 
 
 
 
 Compensation and Benefits
 
 
 
 
 
 
 Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, &amp; vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance.
 
 
 
 
 
 
 
 
 
 
 
 
 Slalom is committed to fair and equitable compensation practices. For this Consultant role, we are hiring at the following targeted base pay salary ranges: &nbsp;
 
 
 
 
 
 
 
 
 
 Boston, New York: $100,000 - $122,000
 
 
 
 
 
 
 
 
 
 All other locations: $100,000 - $115,000
 
 
 
 
 
 
 
 
 
 
 
 
 
 In addition, individuals may be eligible for an annual discretionary bonus
 
 
 
 
 .
 
 
 
 
 Actual compensation will depend upon an individual&rsquo;s skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.
 
 
 
 
 
 
 
 
 
 
 
 
 
 We are committed to pay transparency and compliance with applicable laws. If you have questions or concerns about the pay range or other compensation information in this posting, please contact us at:
 
 
 
 
 
 peopleone@slalom.com
 
 
 
 
 
 . Please note, this recipient is not able to support recruitment inquiries beyond this purpose.
 
 
 
 
 
 
 
 
 
 
 
 
 EEO and Accommodations
 
 
 
 
 
 
 Slalom is an equal opportunity employer and is committed to attracting, developing and retaining highly qualified talent who empower our innovative teams through unique perspectives and experiences. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans&rsquo; status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team or contact
 
 
 
 
 
 accomodationrequest@slalom.com
 
 
 
 
 
 if you require accommodations during the interview process.
 
 
 
 
 
 
 
 
 
</div>

Data Engineer

Sign In Solution

Job OverviewTitle: Senior Data Engineer with DevOps Location: Pittsburgh, PA, Cleveland, OH, or Dallas, TX Employment Type: Full TimeVisa: USC, GCPosition Description: We are seeking a Data Engineer with 8+ years of experience to design and maintain scalable data pipeline supporting analytics, reporting, and operational needs. The role involves collaborating with cross functional teams to ensure data alignment with business requirements and enterprise standards.Duties and Responsibilities:<ul><li>Design and build scalable data pipelines aligned with business needs</li><li>Process large dataset (batch + sometimes near Realtime)</li><li>Ensure data quality, consistency, and governance standards across systems</li><li>Support data integration and transformation efforts for analytics and reporting platforms</li><li>Maintain data dictionaries, metadata, and documentation</li><li>Participate in data architecture reviews and model validation processes</li><li>Support analytics reporting and risk platforms</li></ul>Requirements:<ul><li>8+ years of experience in data engineering and big data processing</li><li>Strong expertise in Apache Spark (Spark Core, Spark SQL) and PySpark for large scale batch processing</li><li>Experience working with structured and semi structured data, including complex transformations and performance tuning</li><li>Proficiency in data ingestion and integration from sources like Oracle, SQL Server, Hive, HDFS, and S3; transform data into 'curated data models'</li><li>Experience writing data to Hive tables, Data Lakes (Iceberg), and downstream reporting systems</li><li>Strong knowledge of SQL and data modeling concepts</li><li>Hands on experience with Apache Airflow for workflow orchestration (DAG design, scheduling expectations, monitoring)</li><li>Proficiency in shell scripting for job automation, file validation, dependency handling, and logging. Trigger Spark Jobs, perform file checks and validation; Archive &amp; purge data; mange job dependency, logging &amp; error handling</li><li>Strong understanding of batch processing and batch job scheduling frameworks</li><li>Experience migrating from CA7/Control M Airflow (daily, hourly, weekly schedules) CI/CD for data pipelines</li><li>Fundamentals in Linux and Networking</li><li>Docker, OCP containerization / Kubernetes:</li><li>Knowledge of CI/CD pipeline tools: Tools commonly include Jenkins, GitHub Actions, Azure DevOps, GitLab Cl, Maven, and Gradle</li><li>Automate operational tasks using Python, Bash/Shell, and PowerShell</li><li>Implement monitoring and alerting, Application Insights. Enable centralized logging with tools such as ELK.</li><li>Experience ensuring data quality, reliability, and compliance in regulated environments</li><li>Good communication and documentation skills</li></ul>Pay: $120,000.00 - $125,000.00 per yearWork Location: In person

Senior Data Engineer with DevOps

<div>Since 2012, we've grown to become one of the leading single-family rental companies and homebuilders in the country, recently recognized as a top employer by Fortune and Great Place To Work&reg;. At AMH, our goal is to simplify the experience of leasing a home through professional management and maintenance support, so our residents can focus on what really matters to them, wherever they are in life.
The Senior Data Engineer is responsible for designing, building, and managing the data platform and tools to allow for the efficient processing and analysis of large data sets. Develops and maintains scalable data pipelines, ensures data quality, and deploys machine learning models to production. Collaborates with business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision-making across the organization. Builds real-time and batch pipelines to handle large volumes of data efficiently. Collaborates with cross-functional teams and translate business requirements into scalable data solutions.
Responsibilities:<ul><li>
Design, develop, and maintain real-time or batch data pipelines to process and analyze large volumes of data. Designs and develops programs and tools to support ingestion, curation, and provisioning of complex first party and third-party data to achieve analytics, reporting, and data science. Design and develop Advanced Data Products and Intelligent API&rsquo;s. Monitors the system performance by performing regular tests, troubleshoots, and integrates new features.</li><li>
Lead in analysis of data and the design the data architecture to support BI, AI/ML and data products.</li><li>
Designs and implements data platform architecture to meet organization analytical requirements. Ensures the solution designs address operational requirements such as scalability, maintainability, extensibility, flexibility, and integrity.</li><li>
Provide technical leadership and mentorship to team members. Leads peer development and code reviews with focus on test driven development and Continuous Integration and Continuous Development (CICD).</li></ul>
Requirements:<ul><li>
Bachelor&rsquo;s degree in computer science, information systems, data science, management information systems, mathematics, physics, engineering, statistics, economics, and/or a related field required.</li><li>
Master&rsquo;s degree in computer science, information systems, data science, management information systems, mathematics, physics, engineering, statistics, economics, and/or a related field preferred.</li><li>
Minimum of eight (8) years of experience as a data engineer with full-stack capabilities</li><li>
Minimum of ten (10) years of Experience in programming</li><li>
Minimum of five (5) years in Cloud technologies like Azure, Aws or Google.</li><li>
Strong SQL Knowledge</li><li>
Experience in ML and ML Pipeline a plus</li><li>
Experience in real-time integration, developing intelligent apps and data products.</li><li>
Proficiency in Python and experience with CI/CD practices</li><li>
Strong background in IAAS platforms and infrastructure</li><li>
Hands-on experience with Databricks, Spark, Fabric, or similar technologies</li><li>
Experience in Agile methodologies</li><li>
Hands-on experience in the design and development of data pipelines and data products</li><li>
Experience in developing data ingestion, data processing, and analytical pipelines for big data, NoSQL, and data warehouse solutions.</li><li>
Hands-on experience implementing data migration and data processing using Azure services: ADLS, Azure Data Factory, Event Hub, IoT Hub, Azure Stream Analytics, Azure Analysis Service, HDInsight, Databricks Azure Data Catalog, Cosmo Db, ML Studio, AI/ML, etc.</li><li>
Extensive experience in Big Data technologies such as Apache Spark and streaming technologies such as Kafka, EventHub, etc.</li><li>
Extensive experience in designing data applications in a cloud environment.</li><li>
Intermediate experience in RESTful APIs, messaging systems, and AWS or Microsoft Azure.</li><li>
Extensive experience in Data Architecture and data modeling</li><li>
Expert in data analysis and data quality frameworks.</li><li>
Knowledgeable with BI tools such as Power BI and Tableau.</li><li>
May occasionally work evenings and/or weekends.</li></ul>
Compensation
The anticipated pay range/scale for this position is $121,116.00 to $151,395.00 Annually. Actual starting base pay within this range will depend on factors including geographic location, education, training, skills, and relevant experience.
Additional Compensation
This position is eligible to receive a discretionary annual bonus.
Perks and Benefits
Employees have the opportunity to participate in medical, dental and vision insurance; flexible spending accounts and/or health savings accounts; dependent savings accounts; 401(k) with company matching contributions; employee stock purchase plan; and a tuition reimbursement program. The Company provides 9 paid holidays per year, and, upon hire, new employees will accrue paid time off (PTO) at a rate of 0.0577 hours of PTO per hour worked, up to a maximum of 120 hours per year.
CA Privacy Notice: To learn more about what information we collect when you apply for a job, and how we use that information, please see our CA Job Applicant Privacy Notice found at https://www.amh.com/ca-privacy-notice.
#LI-PH1</div>

Senior Data Engineer

Ciklum

<div><div><div><div><div><div><div><div><div><div><div>Ciklum is looking for a Senior Data Engineer to join our team full-time in the US .</div>
We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.
About the role:
As a Senior Data Engineer, become a part of a cross-functional development team engineering experiences of tomorrow.
Responsibilities:<ul><li>
Responsible for the building, deployment, and maintenance of mission-critical analytics solutions that process terabytes of data quickly at big-data scales</li><li>
Contributes design, code, configurations, manage data ingestion, real-time streaming, batch processing, ETL across multiple data storages.</li><li>
Performs development, QA, and dev-ops roles as needed to ensure total end-to-end responsibility of solutions.</li><li>
Responsible for performance tuning of complicated SQL queries and Data flows</li><li>
Identify gaps and improve the platform&rsquo;s quality, robustness, maintainability, and speed</li><li>
Cross-train other team members on technologies being developed, while also continuously learning new technologies from other team members.</li><li>
Contribute in the Unit&rsquo;s activities and community building, participate in conferences, and provide excellence in exercise and best practices.</li></ul>
Requirements:<ul><li>
3+ years of experience coding in SQL, Java, Python, Scala, with solid CS fundamentals including data structure and algorithm design</li><li>
2+ years contributing to production deployments of large backend data processing and analysis systems</li><li>
1+ years of hands-on implementation experience working with a combination of the following technologies: Hadoop, Map Reduce, Pig, Hive, Impala, Spark, Kafka, Storm, SQL and NoSQL data warehouses such as Hbase and Cassandra.</li><li>
2+ years of experience in cloud data platforms (AWS, Azure, GCP)</li><li>
Knowledge of professional software engineering best practices for the full software</li><li>
Knowledge of Data Warehousing, design, implementation and optimization</li><li>
Knowledge of Data Quality testing, automation and results visualization</li><li>
Knowledge of BI reports and dashboards design and implementation (PowerBI, Tableau)</li><li>
Knowledge of the development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.</li><li>
Experience participating in an Agile software development team, e.g. SCRUM</li><li>
Experience designing, documenting, and defending designs for key components in large distributed computing systems</li><li>
A consistent track record of delivering exceptionally high-quality software on large, complex, cross-functional projects</li><li>
Demonstrated ability to learn new technologies quickly and independently</li></ul>
What&rsquo;s in it for you?<ul><li>
Strong community: Work alongside top professionals in a friendly, open-door environment</li><li>
Growth focus: Take on large-scale projects with a global impact and expand your expertise</li><li>
Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications</li><li>
Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies</li><li>
Care: Healthcare, Basic Life Insurance, Short and Long-term disability insurance according to the Company&rsquo;s Benefit Plans</li></ul>
About us:
At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you&rsquo;ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress. In the US, Ciklum is growing fast&mdash;inviting experienced professionals to lead digital transformation alongside Fortune 500 clients. Be part of a company where innovation and impact go hand in hand.
Explore, empower, engineer with Ciklum!
Interested already? We would love to get to know you! Submit your application. We can&rsquo;t wait to see you at Ciklum.
#LI-HD1</div>
</div></div></div></div></div></div><div></div><div><div><div><div><div><div>REQUIRED SKILLS
<div><ul>MySQL
Python
</ul></div></div></div></div></div></div></div><div></div><div><div><div><div><div><div><div>
</div></div></div></div></div></div></div><div><div><div><div><div><div>JOB INFO
<div><div><div><ul><div><div>Job Identification</div>
<div>3659</div>
</div><div><div>Job Category</div>
<div>Data Management</div>
</div><div><div>Posting Date</div>
<div>07/06/2026, 03:37 AM</div>
</div><div><div>Locations</div>
<div> <div></div><div><div>US-Remote
</div></div>(Remote)</div></div></ul></div></div></div></div></div></div></div></div></div></div></div></div>

VOIS

<div>
 
 Who We Are
 
 
 
 VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology &amp; Transformation.
 
 
 As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability.
 
 
 We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.
 
 
 #VOIS #BeUnrivalled #CreateTheFuture
 
 
 
 About This Role
 
 
 
 We are seeking a Senior Data Engineer to design, build, and optimise scalable data solutions that enable effective use of large datasets. This role focuses on improving data systems, ensuring data quality and accessibility, and supporting informed decision-making across the business through reliable data platforms and insights.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Analyse and manage raw data across existing data collection systems, recommending improvements and enhancements
 </li>
 <li>
 Design, build, and implement new data collection and processing systems where required
 </li>
 <li>
 Ensure data systems are secure, scalable, and accessible to relevant stakeholders
 </li>
 <li>
 Maintain and document code for future upgrades, enhancements, and system maintenance
 </li>
 <li>
 Provide guidance, training, and support to stakeholders on newly implemented systems
 
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field
 </li>
 <li>
 Proven experience (5+ years) in a similar data engineering role
 </li>
 <li>
 Strong expertise in data management (ETL), data modelling, visualisation tools (e.g., Tableau, Power BI), and data pipeline development Proficiency in
 </li>
 <li>
 SQL and experience in programming languages such as Python or Java
 </li>
 <li>
 Experience with Linux environments, shell scripting, and big data tools such as Hadoop and Spark
 </li>
 <li>
 Familiarity with cloud platforms (preferably AWS or GCP), data governance, and warehousing solutions
 </li>
 <li>
 Strong analytical thinking, problem-solving ability, and attention to detail
 </li>
 <li>
 Effective communication and stakeholder engagement skills
 
 
 
 </li>
 </ul>
 
 Not a perfect fit?
 
 
 
 Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.
 
 
 
 What's In It For You
 
 
 
 <ul>
 <li>
 Opportunity to work on large-scale, global data platforms and advanced analytics solutions
 </li>
 <li>
 Exposure to modern data technologies, cloud infrastructure, and big data ecosystems
 </li>
 <li>
 A collaborative environment that encourages innovation, learning, and continuous improvement
 </li>
 <li>
 Opportunities to contribute to high-impact business decisions through data-driven insights
 
 
 
 </li>
 </ul>
 
 What Skills You Will Learn
 
 
 
 <ul>
 <li>
 Advanced data engineering techniques and scalable system design
 </li>
 <li>
 Hands-on experience with cloud-based data platforms and big data tools
 </li>
 <li>
 Data governance, security, and compliance practices in enterprise environments
 </li>
 <li>
 Stakeholder engagement and translating business needs into technical solutions
 
 
 
 </li>
 </ul>
 
 VOIS Equal Opportunity Employer Commitment
 
 
 
 Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender identity, gender expression, sexual orientation, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.
 
 
 
 Join Us
 
 
 
 At Vodafone, we&rsquo;re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this.
 
 
 We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.
 
 
 With us, you can truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.
 
 
 
 Alert
 
 
 
 Apply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud.
 
 
 #JDEnhancedByTARA
 
 
 
 Follow us on social media
 
 
 
 <ul>
 <li>
 LinkedIn: https://www.linkedin.com/company/vois/
 </li>
 <li>
 Facebook: https://www.facebook.com/voisglobal
 </li>
 <li>
 Instagram: https://www.instagram.com/voisglobal/
 </li>
 <li>
 You can also chat with our employees to learn more about our projects: https://lnkd.in/dpkrcvR2
 </li>
 </ul>
</div>

Senior Data Engineer (VOIS)

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