data engineer (wealth management) Salary in Stockholm (2026): Complete Guide

A data engineer in wealth management in Stockholm typically earns $58,000 to $132,000 USD per year in 2026, with the strongest offers going to candidates who can handle regulated data platforms, cloud migration, and analytics pipelines for investment products. If you’re senior or principal level, total comp can push higher when bonus and pension are included.

Salary by Experience

A few notes on the table:

• •Wealth management pays above generic data engineering when the role sits close to trading data, client reporting, regulatory reporting, or portfolio analytics.
• •Stockholm salaries are strong by Nordic standards, but they usually trail London and Zurich in raw cash compensation.
• •AI/ML-adjacent data engineers who build feature pipelines, real-time data products, or model-serving infrastructure can clear the top end faster than traditional ETL-heavy profiles.

What Affects Your Salary

• •

  Domain depth in wealth management

  • •If you’ve worked with portfolio accounting, fund data, performance attribution, MiFID II reporting, KYC/AML pipelines, or client reporting systems, you have more pricing power.
  • •Generic platform experience is good. Domain-specific experience is what moves you into the upper band.
• •

  Cloud and modern stack ownership

  • •Engineers who own Snowflake, Databricks, dbt, Airflow, Kafka, and AWS/Azure tend to earn more than pure SQL/ETL profiles.
  • •In Stockholm finance shops, the premium goes up if you can design secure batch + streaming architectures and not just write transformations.
• •

  Regulated environment exposure

  • •Banks and wealth managers pay extra for people who understand auditability, lineage, access control, retention policies, and GDPR constraints.
  • •If you’ve shipped systems that survived internal audit or external regulatory review without drama, that matters.
• •

  Company type

  • •Large banks and established wealth managers often pay slightly less cash than fintechs or asset managers at the same level.
  • •But they may offset that with better pension contributions, bonus structure, stability, and work-life balance.
• •

  Remote vs onsite

  • •Fully remote roles can be competitive if the employer is hiring across Sweden or the EU.
  • •Onsite or hybrid roles in central Stockholm sometimes pay a little more for scarce talent with local market knowledge and stakeholder access.

How to Negotiate

• •

  Anchor on business impact, not tooling

  • •Don’t lead with “I know Spark and Python.”
  • •Lead with outcomes: reduced report generation time by 70%, improved data quality for client statements, cut reconciliation errors across portfolios.
• •

  Price in regulatory risk

  • •Wealth management teams care about correctness more than flashy architecture.
  • •If your work reduces audit findings or lowers operational risk in reporting pipelines, say that directly. That justifies a higher base salary.
• •

  Ask about total compensation

  • •In Stockholm finance roles, base salary is only part of the package.
  • •Push for clarity on annual bonus target, pension contribution rate, wellness allowance, equity if applicable, and overtime policy. A lower base can still win if benefits are strong.
• •

  Use market scarcity honestly

  • •Strong candidates who combine data engineering with financial-domain knowledge are harder to replace than generalist engineers.
  • •If you have experience with investment data models or regulated reporting pipelines already running in production at scale, make sure they know it.

Comparable Roles

• •

  Analytics Engineer (Wealth Management) — $62,000–$110,000 USD

  • •Slightly below senior data engineering unless the role includes dbt ownership and semantic layer design.
• •

  Data Platform Engineer — $78,000–$125,000 USD

  • •Often overlaps with senior/principal data engineer pay when the job focuses on infrastructure rather than business reporting.
• •

  ML Engineer / AI Data Engineer — $90,,000–$145,,000 USD

  • •Usually paid higher than traditional data engineering if the role supports recommendation systems, risk models, or feature stores.
  • •In Stockholm finance firms adopting AI for client intelligence or risk automation this is one of the better-paid adjacent tracks.
• •

  BI Engineer / Reporting Engineer — $55,,000–$92,,000 USD

  • •Typically lower unless it includes governed metrics layers for portfolio and regulatory reporting.
• •

  Data Architect — $105,,000–$150,,000 USD

  • •Higher ceiling when you own enterprise-wide governance and platform design across multiple investment systems.

If you’re evaluating an offer in Stockholm’s wealth management market in 2026:

• •Below $70k is usually entry-level or under-scoped
• •Around $80k–$100k is solid mid-level territory
• •Above $110k should come with real ownership: regulated pipelines, enterprise integration, and direct impact on investment operations

The best offers go to engineers who can do more than move data. They understand why the data exists in a wealth management context and how mistakes show up as financial risk.

Keep learning

• •The complete AI Agents Roadmap — my full 8-step breakdown
• •Free: The AI Agent Starter Kit — PDF checklist + starter code
• •Work with me — I build AI for banks and insurance companies

By Cyprian Aarons, AI Consultant at Topiax.