Occupation intelligence

Database Developer

Snapshot

Database developers program, implement and coordinate changes to computer databases based on their expertise of database management systems.

Summary

Database developers are skilled professionals who design, build, and maintain computer databases. Using their expertise in database management systems, they translate business requirements into efficient and reliable database solutions. This role involves a blend of programming, problem-solving, and collaboration to ensure data integrity, security, and accessibility. It’s a vital role for any organization that relies on data to operate.

Key responsibilities
  • • Designing and implementing new database structures.
  • • Modifying existing databases to meet changing business needs.
  • • Writing and optimizing database queries and stored procedures.
Labour market
Shortage in Belgium and 7 more countries
ELA/EURES 2025
Industry
Digital Technology
Education
Bachelor's or equivalent level
37%
Resilience Score · 2026 (Higher is better)
Bachelor's or equivalent level 55% AI exposure · 2026
Labour market

Where this occupation is in demand

Reported labour shortages and surpluses, by year. Published for occupation groups, not for individual job titles.

Shortage reportedSurplus reportedReported in another yearNot covered by this source

Deeper colour: reported the same way in more consecutive years.

Figures cover Information and communications technology professionals — 75 jobs including this one.

8 of 14 in shortage2025All 30 growing3.7Mopenings to 2035

In shortage: Belgium, Bulgaria, Cyprus, Czechia and 4 more.

Longest-running shortage: Belgium, 3 years.

Select a place on the map to see its figures.

About this source›

Source: ELA/EURES labour shortages and surpluses. Readings are published at occupation-group level, and cover Europe. Editions differ in annex layout and country coverage, so a change between years does not always mean the labour market changed. Countries in grey were not reported, which is not the same as being in balance.

What these words mean

The four things this section reports

Reported demand
Whether employers report needing people in this job — a judgement published by a national or EU body, not a count.
Where it is heading
Which way employment in this job is expected to move over the coming years, from an official projection.
Openings
Roughly how many openings arise — from growth and from people leaving the job.
Typical pay
What people in this job typically earn where the source publishes it. Blank does not mean unpaid; it means nobody publishes it for that place.

A measure is left out when nobody publishes it for that place, rather than shown as zero.

Which way the market leans for you

In your favour
More openings than people looking — employers are competing for candidates.
Balanced
Openings and candidates are roughly matched.
Competitive
More people looking than openings — expect to compete.
Mixed evidence
Sources disagree, or the same occupation group is short in one part and oversupplied in another.

Every source resolves to one of these four, so there is a single vocabulary to learn. What differs is the evidence behind it, which is printed underneath each verdict — a measured ratio of openings to jobseekers, or an assessment published by a national body.

How this job compares with other jobs in the same country

Strong
Among the strongest in that country
Good
Stronger than most jobs in that country
Mixed
About typical for that country
Weak
Weaker than most jobs in that country

This is a rank within one country, not a score you can carry across borders — the registers behind two countries count different people, so the same number means different things in each. It is also why a job can be among the strongest in a country and still show as Competitive: it leads the field in a market that is crowded overall.

Where these come from

Every figure is published by a national statistics office, a public employment service or an EU body, and each card names its source and the period it covers. Some places are counted monthly, others assessed once or twice a year, so two places on the same map can be describing different moments — the date is always shown.

None of this predicts one person's chances. It describes a market.

Explore More

Find your career path and explore the science behind our recommendations.

Quick fit check

Could database developer fit you?

Answer three quick questions. This is not a full assessment — it is a teaser to help you decide whether to compare your profile.

Progress0/3

Do you enjoy tasks that require Attention to Detail?

Do you enjoy tasks that require Integrity?

Do you enjoy tasks that require Persistence?

NexFuture™

Future Outlook for database developer

The outlook for database developer reflects a balanced mix of automation exposure and durable, human-led work.

How are these scores calculated?

The Resilience Score (0–100) estimates how structurally protected this occupation is from automation and AI disruption, based on task-level analysis. Higher scores mean more human-judgment-intensive tasks. AI Exposure shows the estimated percentage of task hours that current AI capabilities could affect. These are model-derived structural indicators, not predictions about individual job security.

Play the future
How could database developer change as AI adoption grows?

Several task areas may shift toward AI-assisted workflows, so reskilling becomes more important.

Significant task-level transformation is estimated in 12 years (around 2038) under the selected Expected Pace scenario.
~35%
Resilience
Automation Risk
EXP~60%
Human advantage
MOAT~35%

Illustrative scenario based on task automatability — not a forecast. Values are rounded the further ahead you look.

2026
2033
2043
AI Adoption Speed:

How AI may change this role

Deterministic, model-based interpretation of current role signals — not a guarantee of replacement.

Human-owned 37% Human-owned

What still depends on people

  • apply information security policies
  • test ICT queries
The Human Edge To stay ahead in this role, focus on data quality assessment and data storage. These human-centric skills are the hardest for AI to replicate in the next 20 years.
Assist 35% Assist

Where AI may become a co-pilot

  • use an application-specific interface
  • identify customer requirements
  • interpret technical texts
Automate 55% Automate

Tasks most exposed to automation

  • collect customer feedback on applications
  • report analysis results
  • estimate duration of work
Detailed Analysis

Vital Signs & AI Vectors

AI Exposure Vectors

0-100%
AI / Machine Learning 35%

Exposure to AI-assisted analysis, pattern recognition, and predictive modelling tasks

Generative AI 2%

Exposure to content generation, creative augmentation, and large language model tools

Cognitive Software 1%

Exposure to workflow automation, decision-support software, and process digitisation

Robotic & Physical Automation 0%

Exposure to physical automation, robotics, and sensor-driven task displacement

Technical Details
Methodology: NexFuture v3.0 Sources: O*NET® 30.3, ESCO v1.2.1 Updated: Sep 2026

NexFuture v3.0 estimates automation exposure natively from ESCO essential-skill groups, weighted by skill mass and calibrated against expert anchors. Scores are probabilistic estimates, not guarantees. See the NexFuture Methodology White Paper for full details.

Measures automation exposure. It does not measure pay, demand, or how many jobs exist near you.

Day in the life

What people in this role usually do

Digital Technology

Day in the life

A typical day as a database developer

09
09:00 · Morning
test ICT queries
Assess that developed queries return and execute correct actions and data.
10
10:30 · Mid-morning
interpret technical texts
Read and understand technical texts that provide information on how to perform a task, usually explained in steps.
12
12:00 · Midday
apply information security policies
Implement policies, methods and regulations for data and information security in order to respect confidentiality, integrity and availability principles.
14
14:00 · Afternoon
balance database resources
Stabilise the workload and resources of a database, by controlling the demand of transactions, allocating disk spaces and ensuring reliability of the servers in order to optimise cost and risk ratio.
15
15:30 · Late afternoon
create data models
Use specific techniques and methodologies to analyse the data requirements of an organisation's business processes in order to create models for these data, such as conceptual, logical and physical models. These models have a specific structure and format.
17
17:00 · Wrap-up
perform backups
Implement backup procedures to backup data and systems to ensure permanent and reliable system operation. Execute data backups in order to secure information by copying and archiving to ensure integrity during system integration and after data loss occurrence.

Task order is illustrative. Individual days vary.

Skills & knowledge

What you need to do this work

The skills, knowledge and tools this role calls for — and the traits and rewards that come with it.

Essential skills
managing, gathering and storing digital data
  • use databases

    Use software tools for managing and organising data in a structured environment which consists of attributes, tables and relationships in order to query and modify the stored data.

  • balance database resources

    Stabilise the workload and resources of a database, by controlling the demand of transactions, allocating disk spaces and ensuring reliability of the servers in order to optimise cost and risk ratio.

working with computers
  • use an application-specific interface

    Understand and use interfaces particular to an application or use case.

conducting studies, investigations and examinations
  • identify customer requirements

    Apply techniques and tools, such as surveys, questionnaires, ICT applications, for eliciting, defining, analysing, documenting and maintaining user requirements from system, service or product.

technical or academic writing
  • write database documentation

    Develop documentation containing information about the database that is relevant to end users.

gathering information from physical or electronic sources
  • collect customer feedback on applications

    Gather a response and analyse data from customers to identify requests or problems in order to improve applications and overall customer satisfaction.

interpreting technical documentation and diagrams
  • interpret technical texts

    Read and understand technical texts that provide information on how to perform a task, usually explained in steps.

protecting privacy and personal data
  • apply information security policies

    Implement policies, methods and regulations for data and information security in order to respect confidentiality, integrity and availability principles.

documenting technical designs, procedures, problems or activities
  • report analysis results

    Produce research documents or give presentations to report the results of a conducted research and analysis project, indicating the analysis procedures and methods which led to the results, as well as potential interpretations of the results.

protecting ict devices
  • perform backups

    Implement backup procedures to backup data and systems to ensure permanent and reliable system operation. Execute data backups in order to secure information by copying and archiving to ensure integrity during system integration and after data loss occurrence.

estimating resource needs
  • estimate duration of work

    Produce accurate calculations on time necessary to fulfil future technical tasks based on past and present information and observations or plan the estimated duration of individual tasks in a given project.

Knowledge areas & Software & Technologies
Knowledge areas
  • data quality assessment

    The process of revealing data issues using ​quality indicators, measures and metrics in order to plan data cleansing and data enrichment strategies according to data quality criteria.

  • data storage

    The physical and technical concepts of how digital data storage is organised in specific schemes both locally, such as hard-drives and random-access memories (RAM) and remotely, via network, internet or cloud.

  • database development tools

    The methodologies and tools used for creating logical and physical structure of databases, such as logical data structures, diagrams, modelling methodologies and entity-relationships.

  • database management systems

    The tools for creating, updating and managing databases, such as Oracle, MySQL and Microsoft SQL Server.

  • query languages

    The field of standardised computer languages for retrieval of information from a database and of documents containing the needed information.

  • resource description framework query language

    The query languages such as SPARQL which are used to retrieve and manipulate data stored in Resource Description Framework format (RDF).

  • ABAP

    The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in ABAP.

  • AJAX

    The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in AJAX.

  • Ajax Framework

    The Ajax software development environments which provide specific features and components that support and guide web applications development.

  • APL

    The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in APL.

  • ASP.NET

    The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in ASP.NET.

Cross-sector skills
  • data extraction, transformation and loading tools
Software & Technologies
Structured query language SQLSASPythonRMicrosoft SQL ServerThe MathWorks MATLABIBM SPSS StatisticsSalesforce softwareMicrosoft Visual BasicOracle DatabaseOracle Primavera Enterprise Project Portfolio ManagementExtensible markup language XMLOracle PeopleSoftC++Hypertext markup language HTMLTableauOracle JavaESRI ArcGIS softwareJavaScriptTeradata DatabaseGoogle AnalyticsCAtlassian JIRAAutodesk RevitPerlMicrosoft Visual Basic for Applications VBAMarketo Marketing AutomationPHPAmazon Web Services AWS softwareMicrosoft Azure softwareMySQLC#Eclipse IDEAtlassian ConfluenceMicrosoft Active Server Pages ASPApache HadoopCascading style sheets CSSMicrosoft Visual StudioGitSplunk Enterprise
Key traits you need
Attention to Detail Integrity Persistence Cooperation Dependability Initiative Analytical Thinking Adaptability/Flexibility Achievement/Effort Stress Tolerance Self-Control Independence Innovation Concern for Others Social Orientation Leadership
Key rewards you can expect
AchievementWorking Condit…RecognitionRelationshipsSupportIndependence
How to qualify

Path to become a database developer

What it typically takes to qualify: education level, where it is a regulated profession, and where to study.

Typical education level

Bachelor's or equivalent level

Study programmes

Real programmes leading to this occupation, by country.

Certificate in Advanced Database Development

EQF 7 Possible match No direct programme link available

Certificate in Database Systems

EQF 6 Possible match No direct programme link available

Award in Database Development - Introduction

EQF 5 Possible match No direct programme link available

Award in Database Design and Implementation (Computing)

EQF 5 Possible match No direct programme link available

Award in Advanced Database Principles and Distributed Systems

EQF 6 Possible match No direct programme link available

VET Award for Web Development with MySQL and PHP

EQF 5 Possible match No direct programme link available

Award in Core Database Principles

EQF 5 Possible match No direct programme link available

Software Engineering Programme

Possible match
Career progression

Growth Pathways & Similar Roles

Explore typical career progression paths, adjacent skills, and similar roles to plan your next transition.

Common questions

Frequently asked questions

What kind of database management systems do database developers typically work with?
While specific systems vary, common examples include MySQL, PostgreSQL, Oracle, Microsoft SQL Server, and NoSQL databases like MongoDB. Proficiency in at least one of these is generally expected.
I’m considering a career change. What skills are most important for transitioning into database development?
Strong programming skills (often in languages like SQL, Python, or Java), a solid understanding of database concepts (normalization, indexing, etc.), and analytical problem-solving abilities are crucial. Building a portfolio of projects demonstrating these skills can be very helpful.
How does the work style of a database developer align with different personality types?
This role benefits from individuals who are detail-oriented (1.C.5.b), methodical (1.C.5.c), analytical (1.C.1.b), and collaborative (1.C.3.a). A preference for precision and a structured approach to problem-solving (1.C.5.a) are also common traits.
How much does Database Developer pay in the United States?
$104,620 a year at the median, as of 2025-05. State medians run from $51,880 to $135,750. Source: US Bureau of Labor Statistics. This is a United States figure and not a projection for Europe.

Sources: ESCO O*NET ELA/EURES Cedefop BLS Data updated September 20, 2026 About our data