15 Data Engineering jobs in Egypt

b_labs is the transformation and digitization arm of B.TECH, on a mission to change the industry as we know it. We spearhead tech innovation at B.TECH, an organization that has been a cornerstone of the Egyptian retail industry. We are the engine powering B.TECH in achieving its goal of becoming the leading omni-channel platform for consumer electronics and appliances in Egypt. By joining b labs, you will get to benefit from a collaborative startup environment, while also enjoying the stability of working within a company that has achieved strong growth year after year. You will be part of a visionary, customer-focused team with an ambitious mission-to become a trailblazer for digital retail within the Middle East.

The Data Engineering Manager will lead the development and implementation of b_labs' data engineering strategy and oversee a team of data engineers. This role will play a crucial part in shaping the company's data infrastructure and collaborating with the Data Architect and Head of Analytics to drive data-driven decision-making across the organisation.

Responsibilities

• Develop and implement the data engineering strategy in line with b_labs' business objectives and industry best practices
• Lead, mentor, and grow a team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement
• Collaborate with the Data Architect to design, build, and optimize b_labs' data infrastructure, ensuring it is scalable, secure, and performant
• Work closely with the Head of Analytics to ensure seamless data integration and accessibility for analytics and business intelligence initiatives
• Establish and enforce data engineering standards, guidelines, and best practices across the organization
• Identify, evaluate, and implement new data technologies and tools to enhance the capabilities of the data engineering team
• Collaborate with cross-functional teams to identify data requirements and support data-driven projects
• Monitor and maintain the health and performance of b_labs' data ecosystem, proactively identifying and addressing any issues

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• Minimum of 8 years of experience in data engineering, with at least 3 years in a leadership role
• Strong knowledge of data engineering tools, technologies, and best practices, including data warehousing, ETL, and data pipelines
• Proficiency in programming languages such as Python, Java, or Scala
• Experience with big data technologies such as Hadoop, Spark, and Kafka
• Familiarity with cloud-based data solutions (AWS, Azure, or Google Cloud)
• Exceptional problem-solving, communication, and leadership skills
• Ability to collaborate effectively with cross-functional teams and stakeholders

Benefits

Office environment: When you come to our b_labs office, you'll find creative workspaces and an open design to foster collaboration between teams.

Flexibility: You know best whether you want to work from home or in the office.

Equipment: From "Day 1" you will receive all the equipment you need be successful at work.

Job Description
Proudly voted a Great Place to Work, we are a dynamic startup in the SaaS space that is revolutionizing the way businesses communicate. Our team is made up of 500 energetic and passionate Unifones who are dedicated to delivering the best possible experience to 5000+ customer-centric companies.

We pride ourselves on our fun and collaborative work environment, where creativity and new ideas are constantly encouraged. As shareholders in the business, we're so much more than a group of passionate communicators. We are Unifones. Join our team and be a part of something big

Meet the team
Our Engineering team is responsible for designing, developing, and maintaining the systems and technologies that drive Unifonic's solutions. We work closely with other departments to ensure our products and services meet the needs of our customers. If you are passionate about technology and are excited about working on cutting-edge communication and engagement solutions, we want you on our team.

Lead data engineering for high-scale batch and streaming platforms to deliver near-real-time, accurate reporting and customer-facing analytics. Own data quality and observability end-to-end, enabling trustworthy C-level dashboards and low-latency use cases. Operate and optimize OLAP serving layers (Vertica/ClickHouse) for sub-minute freshness at scale.

Help Us Shape The Future Of Communications By

• Operating and evolve a large volume data lake and streaming pipelines with clear SLOs for latency, freshness, completeness, and accuracy. Establish on-call, runbooks, and incident response for data platform reliability .
• Implementing data quality by design: data modeling/contracts, schema governance, and automated validation embedded in data pipelines and orchestration (Airflow/Dagster) .
• Delivering high-accuracy reporting and certified metrics with a governed semantic layer, ensure consistent definitions across C-level dashboards and customer-facing APIs .
• Building and optimize streaming use cases (Kafka + Spark/Flink) with exactly-once semantics, late-data handling, CDC, backfill strategies, set and meet near-real-time SLAs for dashboards .
• Owning real-time OLAP serving: design and operate Vertica/ClickHouse tables, partitioning, indexing, projections/rollups, and retention to balance latency, cost, and concurrency .
• Establishing end-to-end observability (metrics, logs, traces, lineage) across dataflows and APIs; track MTTD/MTTR and error budgets for data incidents .
• Optimizing cost/performance across storage and compute (tiering, compression, query optimization, autoscaling) on OCI/AWS/GCP.
• Shipping robust, versioned analytical APIs (batch/streaming) with SLAs, schema governance, and usage monitoring.
• Coaching and grow high-performing teams, and communicate status and trade-offs clearly to executives and non-technical stakeholders.

Job requirements

What You Will Bring

• 8+ years in Data/Analytics with 3+ leading data engineering teams delivering production-grade pipelines and SLAs.
• Proven track record operating large-scale OLAP stores and dimensional models, expert SQL/query optimization for analytics.
• Production experience with streaming stacks (Kafka + Spark/Flink) powering near-real-time dashboards and APIs.
• Hands-on with orchestration (Airflow) and CI/CD for data.
• Cloud-native data architectures (OCI/AWS/GCP) with measurable cost optimization.
• Data quality and observability ownership (data models/contracts, automated checks, lineage, SLOs).

Nice To Have

• ClickHouse in production: schema design with MergeTree engines, partitioning/sorting, materialized views/rollups, replication, Kafka ingestion, and backup/restore.

As a Unifone you will receive a range of benefits:

• Competitive salary and bonus.
• Unifonic share scheme (we are all owners).
• 30 holiday days after the first anniversary.
• Your Birthday off
• Spend up to 25 days per year working from anywhere in the world
• Paid leave for new parents.

Job Title:
Data Engineering Instructor

Location:
Cairo, Egypt

Employment Type:
Full-time

Company Overview

AMIT
(Association of Management and Information Technology) is a leading training and consulting company committed to delivering exceptional service quality. We continuously evolve by exploring new training areas and methodologies, enabling us to stay ahead of contemporary trends. At AMIT, we partner closely with our clients to anticipate emerging market needs and provide tailored training solutions.

Job Description

We are seeking a highly skilled and enthusiastic
Data Engineering Instructor
to join our growing training team. The ideal candidate has a strong background in data architecture, ETL/ELT pipelines, and cloud data platforms. You will be responsible for delivering engaging sessions that combine theory with hands-on, real-world application, supporting learners in gaining industry-relevant expertise.

Key Responsibilities

• Design and deliver 
  interactive, practical training sessions
   on data engineering tools and concepts.
• Teach topics such as:
• Data pipeline architecture (
  ETL/ELT
  )
• Data warehousing and data modeling
• Distributed data processing (
  Apache Spark
  )
• Cloud data platforms (
  Azure
  , 
  AWS
  , 
  GCP
  )
• SQL and Python
   for data transformation
• Data governance, privacy, and security best practices
• Develop 
  real-world lab exercises and hands-on projects
   simulating business use cases.
• Evaluate student performance and provide 
  timely, constructive feedback
  .
• Track learner progress and adapt instruction to meet individual needs.
• Collaborate with academic and curriculum teams to maintain and update course content.
• Offer 
  career mentorship
   and technical guidance to students.

Qualifications

• A 
  Bachelor's degree
   in 
  Computer Science
  , or a closely related field.
• A 
  Master's degree
   is a strong advantage.

Industry & Teaching Experience

• 1–3 years
   of 
  hands-on industry experience
   in 
  data engineering
  , 
  data science
  , or a similar technical role.
• Minimum of 
  2 years
   specifically in 
  data engineering
   roles.
• 1–2 years
   of 
  teaching, mentoring, or instructional experience
  , with a proven ability to design and manage 
  engaging learning environments
  .

Technical Skills

• Programming
  :
• Python (
  Pandas
  , 
  PySpark
  )
• SQL
  , 
  Bash scripting
• Data Engineering Tools
  :
• Apache Airflow
  , 
  Apache Spark
  , 
  DBT
  , and basic familiarity with 
  Kafka
• Cloud Platforms
  :
• Azure Data Factory
  , 
  Azure Synapse Analytics
  , 
  Azure SQL
  , and basic exposure to 
  AWS Glue
• Databases
  :
• Proficient in 
  SQL Server
   and 
  PostgreSQL
• Strong knowledge of 
  data architecture
  , 
  pipelines
  , and 
  modern data warehousing
   solutions.

Communication & Professional Skills

• Excellent 
  communication
  , 
  presentation
  , and 
  interpersonal skills
  .
• Fluent in 
  English
   (both written and spoken).
• Maintains a 
  professional appearance
   and represents the organization in academic and training settings.
• Committed to 
  student success
  , with the ability to adapt instructional methods based on learner needs.

Instructional & Training Skills

• Curriculum Development
• Lesson Planning & Structuring Content
• Hands-on Lab Design & Execution
• Interactive Teaching Techniques
• Classroom & Time Management
• Student Engagement & Mentorship
• Assessment & Feedback Delivery
• Online/Remote Teaching Tools (e.g., Zoom, Google Classroom, MS Teams)

Our
Talent Acquisition Team
will be in touch with shortlisted applicants.

We look forward to having you on our team

Best of luck,

Talent Acquisition Team – AMIT

Professional Summary

• A dedicated and knowledgeable Data Engineering Instructor with a solid background in data architecture, pipeline development, and cloud-based data solutions. Proven ability to deliver engaging, hands-on training that bridges the gap between theoretical concepts and practical implementation. Experienced in mentoring aspiring data professionals through well-structured learning programs that focus on real-world use cases, best practices, and industry-relevant tools.

Key Responsibilities

• Design, develop, and deliver high-impact training programs in Data Engineering, tailored for diverse audiences including university students, early-career professionals, and corporate teams.

• Teach core topics such as:

• Data pipeline architecture (ETL/ELT processes)
• Data warehousing and modeling
• Big data processing using distributed systems
• Cloud data platforms (Azure, AWS, GCP)
• SQL, Python for data transformation and automation
• Data governance, security, and privacy
• Build hands-on labs and projects simulating real-world business scenarios to enhance learner engagement and retention.
• Continuously evaluate and enhance course materials to keep pace with rapidly evolving data technologies and tools.
• Provide technical mentorship, career guidance, and personalized feedback to learners.
• Collaborate with academic institutions and training centers to align course outcomes with market demands and certification standards.

Technical Skills

• Programming: Python (Pandas, PySpark), SQL, Bash
• Data Tools: Apache Airflow, Apache Spark, DBT, Kafka (intro level)
• Cloud Platforms: Azure Data Factory, Azure Synapse, Azure SQL, AWS Glue (intro level)
• Databases: SQL Server, PostgreSQL,

If you're Interested In & Qualified for the Above Criteria, Please Send Your Updated CV & We Will Get in Touch with You As Soon As Possible

Best Wishes Of Luck

Talent Acquisition Team

*Portfolio And Project Management: *

• Develop and implement AI and data plans aligned with RDMC goals and objectives.
• Create and manage data governance by ensuring that data models adhere to needs, policies and regulations.
• Create and maintain conceptual, logical, and physical data models for various applications, ensuring they align with business requirements and objectives.

*Stakeholders Management: *

• Work with Business Partners to design and deploy Al models and algorithms to solve complex business problems.
• Collaborate with cross-functional teams to integrate Al solutions into various business processes.
• Prepare and present reports on data and Al initiatives to management.

*AI & Data Management: *

• Oversee the collection, storage, and analysis of large datasets; and ensure data quality, integrity, and security.
• Design, implement, and maintain data warehousing solutions, ensuring data integrity, security, and performance optimization.
• Monitor and evaluate the performance of Al systems and make necessary improvements.

*Organization Management: *

• Lead teams of Data Scientists, Machine Learning Engineers, Data and Bl specialists.
• Provide training and mentorship to team members.
• Stay updated with the latest trends and advancements in data science and Al.

*Other Duties: *

• Provide AI & Data services to Paris HQ or other subsidiaries if requested by RDMC.
• Perform other related duties or assignments as directed by the technical management.

*Qualifications: *
Essential Qualifications, Knowledge & Experience

• Bachelor's or master's degree is preferred in Computer Science, Data Science, Business Information Systems, or related STEM study.
• Good English and Arabic Language level, French is a plus

*Knowledge: *

• Strong knowledge of relevant programming languages such as Python, R, and SQL.
• Knowledge of data science techniques, Al frameworks/ models and ML tools.
• Excellent leadership and team management skills.

*Experience: *

• At least 5 years of experience in AI/ML or data related fields.
• with evidence of successfully implemented projects.
• Experience seeing or managing data projects through the full life cycle is a plus.
• Understanding of the corporate environment is required.

Desired Behaviors & Experiences

• Ability to pay attention to details.
• Strong analytical and problem-solving abilities.
• Excellent communication and presentation skills.
• Ability to work in a fast-paced and dynamic environment.

*Qualifications:
Profil de candidat recherché : *

• Bachelor's or master's degree is preferred in Computer Science, Data Science, Business Information Systems, or related STEM study.
• Good English and Arabic Language level, French is a plus

*Knowledge: *

• Strong knowledge of relevant programming languages such as Python, R, and SQL.
• Knowledge of data science techniques, Al frameworks/ models and ML tools.
• Excellent leadership and team management skills.

*Experience: *

• At least 5 years of experience in AI/ML or data related fields.
• with evidence of successfully implemented projects.
• Experience seeing or managing data projects through the full life cycle is a plus.
• Understanding of the corporate environment is required.

Data Engineering Related Responsibilities

• Design, develop, and maintain scalable and efficient data pipelines for ingesting, transforming, and processing data from various sources (e.g., databases, APIs, streaming platforms).
• Build and manage data warehouses, data lakes, and other storage solutions to enable efficient data storage and retrieval.
• Optimize and maintain data infrastructure for performance, scalability, and data quality, ensuring data consistency and integrity.
• Monitor, troubleshoot, and resolve data pipeline issues, performance bottlenecks, and data-related anomalies.
• Implement and maintain data governance practices, including data lineage, metadata management, and access controls.
• Stay up-to-date with industry trends and best practices in data engineering, recommending and implementing new technologies and techniques as appropriate.
• Collaborate with DevOps teams to ensure proper deployment and automation of data pipelines and infrastructure.
• Document technical specifications, processes, and workflows for data engineering projects.
• Collaborate with cross-functional teams to identify data needs, gather requirements, and design data collection processes.
• Clean, transform, and pre-process raw data from different sources to ensure accuracy and consistency.
• Develop and implement data analysis methodologies, utilizing statistical techniques and machine learning algorithms.
• Perform exploratory data analysis to identify trends, patterns, and correlations that can lead to actionable insights.
• Create and maintain interactive dashboards and reports using data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively.
• Monitor data quality and provide recommendations for data collection and storage improvements.
• Collaborate with IT teams to ensure proper data integration and implement data governance and security measures.
• Train and support team members in understanding and using data analysis tools and techniques.
• Collaborate with cross-functional teams, including data engineers, business analysts, and data scientists, to understand data requirements and design optimal data warehouse solutions that align with business objectives.
• Develop and implement end-to-end ETL (Extract, Transform, Load) processes to ingest, transform, and load data from various sources into the data warehouse. Utilize industry-leading ETL tools to automate and streamline these processes.
• Design and maintain comprehensive data models, schemas, and structures that accommodate current and future data needs. Ensure data accuracy, integrity, and performance by implementing best practices in data modelling and management.
• Monitor and maintain data quality within the data warehouse, proactively identifying and resolving data anomalies, inconsistencies, and errors. Implement data cleansing and transformation techniques to enhance data accuracy.
• Collaborate with database administrators to optimize query performance, identifying and resolving bottlenecks through query optimization, indexing strategies, and data partitioning.
• Work closely with business analysts, data scientists, and other stakeholders to understand data consumption patterns and provide support for their analytical initiatives. Translate business requirements into effective data solutions.
• Create and maintain comprehensive documentation for data warehouse processes, including data lineage, transformations, business rules, and metadata. Ensure knowledge sharing and continuity within the team.
• Stay up-to-date with industry best practices, emerging technologies, and trends in data warehousing and analytics. Continuously evaluate and recommend new tools, techniques, and methodologies to enhance the data warehouse infrastructure.
• Collaborate with IT security and compliance teams to ensure data security, privacy, and compliance with relevant regulations.

And any other assigned tasks.

Minimum Qualifications:

• Min 9 yrs. in data analysis, data manipulation, and data visualization
  .
• Knowledge of programming languages such as Python, R, or SQL for data manipulation and analysis.
• Bachelor's degree in Computer Science, Information Technology, or a related field;
• Knowledge of programming languages such as Python, R, or SQL for data manipulation and analysis.
• Familiarity with data visualization tools like Tableau, Power BI, or similar.
• Strong understanding of statistical concepts and experience applying them to real-world data.
• Knowledge of machine learning concepts and their applications is a plus.
• Strong communication skills to present complex findings in a clear and understandable manner.
• Attention to detail and ability to work in a fast-paced, dynamic environment.
• Prior Experience in ETL tools such as Informatica, Talend, or Apache NiFi, and data integration techniques for handling structured and unstructured data is a plus.
• Experience with SQL and database systems such as SQL Server, Oracle, or PostgreSQL. Familiarity with NoSQL databases is advantageous.
• Prior experience with SAP Business Objects (BO) is a plus.
• Understanding of data modelling, dimensional modelling, and data normalization techniques.
• Excellent problem-solving skills and attention to detail, with the ability to analyse complex data challenges and devise effective solutions and ability to work independently as well as in a collaborative team environment.
• Effective communication skills to collaborate with technical and non-technical stakeholders, translating technical concepts for a diverse audience.
• Experience with cloud-based data warehousing solutions (e.g., Amazon Redshift, Google BigQuery, Snowflake) and their associated services is a plus.
• Knowledge of programming languages such as Python, Java, or Scala for scripting and automation.
• Certifications in data warehousing technologies (e.g., AWS Certified Data Analytics, Google Cloud Professional Data Engineer) are advantageous.

Organi group is looking for the following position to join us.

SAP Materials Master Data Engineer

Location : Fifth Settlement

Job purpose :

This role is essential in ensuring accuracy, standardization, and efficiency in managing materials master data across major construction and contracting projects.

Job Description:

• Manage and maintain SAP Materials Master Data across multiple projects

• Ensure accuracy, standardization, and prevent duplication of materials.

• Collaborate with Procurement, Warehousing, and Project teams

• Support construction operations with accurate and structured materials data.

• Monitor and enhance data quality while ensuring compliance with governance standards.

Qualifications and Skills:

• 3–5 years of experience in SAP MM (Materials Master focus).

• Strong knowledge of construction materials (civil, mechanical, electrical).

• Previous experience in Construction / Contracting / MEP industries preferred.

• Excellent skills in Excel, data validation, and analysis.

• Strong communication and teamwork abilities.

• Fluency in English (written & spoken)

If interested, send your CV to - with the job title mentioned in the subject.

About the Role

We are seeking a
Cloudera Developer
to design, build, and optimize data pipelines and processing jobs on our Cloudera platform. The role involves leveraging
NiFi, Spark, Hive, and Impala
to deliver high-quality, reliable data flows. Experience with enterprise data integration platforms (e.g., TIBCO) is a plus but not mandatory.

Key Responsibilities

• Develop, test, and maintain data ingestion flows using
  Apache NiFi
  .
• Build large-scale data transformation jobs with
  Apache Spark
  (Scala or PySpark).
• Implement
  API-based integrations
  and data exchanges with enterprise platforms.
• Ensure data
  security, quality, and compliance
  using governance tools (Ranger, Atlas, SDX).
• Monitor, troubleshoot, and optimize
  data pipelines
  for performance and reliability.
• Contribute to
  automation and CI/CD
  processes for data pipelines.
• Document
  data flows, schemas, and transformations
  for ongoing support.

Required Skills & Experience

• 4–5 years
  of experience in
  data engineering/development
  on Cloudera/CDP platforms.
• Hands-on expertise with
  Apache NiFi, Spark (Scala or PySpark), Hive, and Impala
  .
• Knowledge of
  data governance and security
  (Ranger, Atlas, SDX).
• Experience integrating with external platforms via
  REST APIs or message queues
  .
• Familiarity with
  Git
  and CI/CD pipelines.
• Strong ability to
  troubleshoot
  data flow, cluster, and performance issues.

Preferred Qualifications

• Experience with
  TIBCO Data Hub/Data Science
  or other enterprise data integration platforms.
• Cloudera certifications
  (CCA or Cloudera Data Platform).
• Exposure to
  cloud-native
  or hybrid data platforms.
• Knowledge of
  containerization
  (Docker/Kubernetes) for data workloads.

Data Engineering Tech Lead, Cairo, Egypt
Connect to your career at Deloitte
Deloitte, established globally in 1845, is the world's largest and leading professional services firm, providing Audit & Assurance, Tax & Legal and Consulting and related services to public and private clients spanning multiple industries. Present in more than 150 countries, Deloitte is distinct in its ability to help clients solve their most complex problems, from strategy to implementation.

Deloitte innovation hub (DIH) is a strategic initiative established by Deloitte North & South Europe (NSE) to support our ambition to become the leading business transformation partner of choice for our clients and to expand and scale our delivery footprint across EMEA. With access to a scaled, diverse, highly skilled, motivated, and engaged workforce, DIH is delivering complex technical solutions for clients' most complex business problems, across portfolios that include 'Strategy & Transactions', 'Customer', 'Engineering, AI & Data, 'Enterprise, Technology & Performance' and 'Cyber'. DIH is aiming to become the destination for top talents in Egypt for a long, exciting career.

We invest in outstanding people of diverse talents and backgrounds and empower them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we. Our organization has grown in scale and diversity, providing services across the region, with our shared culture remaining the same. We aim to help clients realize their ambitions, make a positive difference in society, and maximize the success of our people. This drive fuels the commitment and humanity that run deep through our every action.

Connect to your opportunity

• Identify and solve complex problems using a structured and logical approach.
• Stay up to date on the latest data engineering technologies and trends.
• Work with other engineering teams to integrate data engineering solutions with other systems.
• Maintain and optimize data systems to ensure high availability and performance.
• Design and implement data pipelines to collect, transform, and load data into data warehouses and data lakes.
• Gather requirements from stakeholders and translate them into technical specifications.
• Lead a team of data engineers in the design, development, and implementation of data engineering solutions.
• Manage functional and non-functional requirements and have a deep understanding of systems engineering methodologies.
• Build and maintain positive relationships with stakeholders, and to effectively communicate technical concepts to non-technical audiences.
• Manage multiple projects simultaneously in a highly organized and efficient manner.
• Think creatively and come up with new solutions to problems.
• Communicate effectively with technical and non-technical audiences, both verbally and in writing.

Technical Skills
Connect to your skills and professional experience

• 6 - 10 years of relevant experience.
• Cloud computing platforms: AWS/Azure/GCP
• Programming languages: Python/Java/Scala & Unix Shell scripting
• Data warehouse technologies: Redshift/Snowflake/Big Query
• Data lake technologies: Hadoop, Apache Beam, Spark, and Hive
• Orchestration: Airflow/Control-M/(Any Orchestration tool)
• Machine learning frameworks: TensorFlow, PyTorch, and scikit-learn

Connect to your service line - Technology & Transformation
Distinctive thinking, deep expertise, and collaborative working. That's what connects us. That's what makes us Deloitte. If you want to help solve some of the biggest challenges around, join us. Together, we'll make an impact that matters.

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Regulation and controls are standard practice in our industry and Deloitte is no exception. These controls provide important legal protection for both you and the firm. We are subject to several audit regulations, one of which requires that certain colleagues abide by specific personal independence constraints. This can mean that you and your "Immediate Family Members" are not permitted to hold certain financial interests (shares, funds, bonds etc.) with audit clients of the firm. The recruitment team will provide further detail as you progress through the recruitment process.

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• Dan, Technology and Transformation

Our commitment to you
Making an impact is more than just what we do: it's why we're here. So we work hard to create an environment where you can experience a purpose you believe in, the freedom to be you, and the capacity to go further than ever before.

We want you. The true you. Your own strengths, perspective, and personality. So, we're nurturing a culture where everyone belongs, feels supported and heard, and is empowered to make a valuable, personal contribution. You can be sure we'll take your wellbeing seriously, too. Because it's only when you're comfortable and at your best that you can make the kind of impact you, and we, live for.

Your expertise is our capability, so we'll make sure it never stops growing. Whether it's from the complex work you do, or the people you collaborate with, you'll learn every day. Through world-class development, you'll gain invaluable technical and personal skills. Whatever your level, you'll learn how to lead.

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A career at Deloitte is an opportunity to develop in any direction you choose. Join us and you'll experience a purpose you can believe in and an impact you can see. You'll be free to bring your true self to work every day. And you'll never stop growing, whatever your level.